CN118038652B - Safety linkage early warning system based on field monitoring - Google Patents
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Abstract
The invention discloses a safety linkage early warning system based on field monitoring, which relates to the technical field of internet monitoring and comprises the following components: numbering and dividing the field area; the data acquisition module performs face acquisition pretreatment on personnel in the real area, the data acquisition module uploads information to the distributed storage nodes, the distributed storage nodes upload data to the safety linkage module, and the safety linkage module stores the data to the big data storage library; the safety linkage module judges personnel safety according to a judging algorithm, information judged to be safety personnel is temporarily stored in the cache cloud, the safety linkage module allows the personnel stored in the cache cloud to enter the field area, and the personnel stored in the cache cloud are not allowed to enter the field area building. By arranging the safety linkage module, the image monitoring module and the early warning module, the identification of the external personnel is carried out, the safety management capability of the field area to the external personnel is improved, and convenience is brought to the personnel in the field area.
Description
Technical Field
The invention relates to the technical field of internet monitoring, in particular to a safety linkage early warning system based on field monitoring.
Background
The field area refers to a standard building or building group which is generally planned and constructed by a civil enterprise, has complete water supply, power supply, air supply, communication, roads, storage and other supporting facilities, is reasonably distributed and can meet the requirements of production and scientific experiments in a specific industry, and comprises an industrial field area, a logistical field area, an urban industrial field area, a scientific field area, a creative field area and the like.
The existing field area may have safety problems for the entering of external personnel, and the existing intelligent field area can automatically identify the entering of the external personnel, but has a single identification mode, so that the safety personnel of non-local areas such as takeaway and the like can be excluded, and inconvenience is caused to internal personnel.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides a safety linkage early warning system based on field monitoring, which solves the problems in the background technology.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a safety linkage early warning system based on field monitoring, comprising:
the regional numbering module is used for numbering and dividing real regions;
the data acquisition module is used for carrying out face acquisition pretreatment on personnel in the real area, and uploading information to the distributed storage nodes;
The safety linkage module stores the data uploaded by the distributed storage nodes into a big data storage library, the big data storage library finishes the image storage of personnel in the real area, the safety linkage module judges the safety of the personnel according to a judging algorithm, the information judged as the safety personnel is temporarily stored in a cache cloud, the safety linkage module allows the personnel stored in the cache cloud to enter the real area and does not allow the personnel stored in the cache cloud to enter the building in the real area, the safety linkage module uses simulation data to carry out deep learning training and form a reaction model, and when the information of the big data storage library is called, the data in the big data storage library is automatically matched to generate a directed graph;
The image monitoring module is used for carrying out regional monitoring on different places of the field area, monitoring the generated personnel images or video information, transmitting the information to the data acquisition module, transmitting the information to the distributed storage node, transmitting the information to the safety linkage module by the distributed storage node, judging whether the personnel is abnormal according to the directed graph when the personnel is an internal personnel of the field area, if the personnel is abnormal, sending out early warning information, if the personnel is not abnormal, not carrying out any processing, judging whether the personnel is data temporarily stored in the cache cloud, if the personnel is not the internal personnel of the field area, sending out early warning information, if the personnel is not the internal personnel of the field area, adopting the reaction model, making a decision instruction, transmitting the decision instruction to the distributed storage node, transmitting the decision instruction to the data acquisition module by the distributed storage node, feeding back the instruction to the image monitoring module by the data acquisition module, and reacting by the image monitoring module according to the instruction;
the safety linkage module stores long-term data into the big data storage library, and the safety linkage module stores short-term data into the cache cloud;
the safety linkage module collects early warning information and stores the early warning information in the early warning module;
The early warning module is in information interaction with the safety linkage module, the safety linkage module sends out instructions to control the early warning module to perform early warning, the early warning module sends out early warning to personnel, and the personnel are ejected from buildings or field areas in the field area.
Preferably, the determining algorithm specifically includes:
counting the times of entering the field area by personnel;
Based on the behaviors of the personnel entering the real area each time, scoring the behaviors of the personnel according to the law of the real area, and obtaining the scores of the behaviors of the personnel entering the real area each time Wherein, one of the rules of the field area is met, one score is added, and one score is deducted when the one of the rules of the field area is violated;
Judging whether the behavior scores of the personnel entering the real area each time are larger than a first preset value, if so, marking the personnel as personnel to be verified, and if not, judging as dangerous personnel;
for a person to be verified, calculating a person assessment score through a comprehensive scoring formula based on the number of times the person enters the field area and the behavior score of each time the person enters the field area;
Judging whether the personnel assessment score is larger than a second preset value, if so, judging the personnel to be safe, and if not, judging the personnel to be dangerous;
The comprehensive scoring formula is as follows: ，
Wherein A is a person's rating score, Scoring of behavior per entry into field area,/>To access the field area.
Preferably, the safety linkage module uses the simulation data to perform the deep learning training specifically includes the following steps:
generating a flow graph comprising ，
Wherein,Store reaction instruction information,/>Store various first-level instructions,/>Store various secondary instructions,/>Store common data pattern information,/>Point to the corresponding/>Point to the corresponding/>Thereby forming/>For the formed directional chain, verifying the rationality of the directional chain, monitoring by using analog data, receiving data by a safety linkage module, and matching the corresponding/>' according to a data modeHas an oriented chain corresponding thereto/>The safety linkage module executes/>, in sequenceFirst order instruction and/>The second order instruction in (2) judges the directed chain/>, according to the rationality of the actual effect of the instructionIf there is a directed chain/>If the first-order instruction is unreasonable, the first-order instruction or the second-order instruction is unreasonable, and if the first-order instruction is unreasonable, the/>Directional/>If the second order instruction is unreasonable, change/>Directional/>For new/>And continuing to verify the directed chain until all the directed chains generate instructions meeting the reality for the simulation data, and storing all the directed chain information by the safety linkage module to form a reaction model.
Preferably, the numbering and dividing the field area includes the following steps:
numbering personnel in the real area stored in the big data storage library, wherein the number is ；
Numbering a plurality of blocks divided by parts except for buildings in a real area, wherein the number is；
Numbering the field area buildings with the number of。
Preferably, the storing the short-term data in the cache cloud by the security linkage module specifically includes:
storing instant cleaning information, short-term temporary storage information and long-term temporary storage information to a cache cloud;
The instant cleaning information is cleaned in a first preset time;
the short-term temporary storage information is cleaned in a second preset time;
Cleaning the long-term temporary storage information in a third preset time;
The third preset time is longer than the second preset time, and the second preset time is longer than the first preset time.
Preferably, the automatic matching of data in the large data storage library generates a directed graph comprising the following steps:
Statistics and establishment of personnel in real area Real regional area block/>, with occurrence number greater than preset numberAnd field area building/>Build mapping, will/>Mapping to/>And/>Map all to/>/>Composition set/>Map all to/>/>Composition set/>Form a block/>, related to the real area regionAnd field area building/>Directed graph/>。
Preferably, the safety linkage module judges whether the position of the personnel is abnormal or not according to the directed graph, and comprises the following steps:
Determining the appearance position of a person;
if the personnel appear position is the area block in the real area The information calling module transmits an instruction, and the safety linkage module calls/>In/>Safety linkage module compares personnel and/>If there is the image information of the person image, the person image is identical to the image information of the person imageJudging that the position of the person is not abnormal, and if not, judging that the position of the person is abnormal;
if the personnel appear in the site area building The information calling module transmits an instruction, and the safety linkage module calls/>In/>Safety linkage module compares personnel and/>If there is the image information of the person image, the person image is identical to the image information of the person imageAnd judging that the personnel position is not abnormal, and if not, judging that the personnel position is abnormal.
Compared with the prior art, the invention has the beneficial effects that:
through setting up safety linkage module, image monitoring module and early warning module, can carry out nimble discernment to the foreign personnel, to the security personnel, allow its scope activity outside the building of field area for personnel such as takeaway can get into the field area activity, judge whether its position of appearing is its frequent regional that appears to the inside personnel of field area, and then can discern the abnormal conditions of the inside personnel of field area.
Drawings
FIG. 1 is a schematic flow diagram of a safety linkage early warning system based on field monitoring according to the invention;
FIG. 2 is a flow chart of a decision algorithm according to the present invention;
FIG. 3 is a schematic diagram of a process for numbering and dividing a field area according to the present invention;
FIG. 4 is a schematic diagram of a flow of a security linkage module according to the present invention for storing short-term data into a cache cloud;
FIG. 5 is a flow chart of the safety linkage module according to the present invention for judging whether the personnel position is abnormal or not according to the directed graph.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a safety linkage early warning system based on field monitoring includes:
the regional numbering module is used for numbering and dividing real regions;
the data acquisition module is used for carrying out face acquisition pretreatment on personnel in the real area, and uploading information to the distributed storage nodes;
The safety linkage module stores the data uploaded by the distributed storage nodes into a big data storage library, the big data storage library finishes the image storage of personnel in the real area, the safety linkage module judges the safety of the personnel according to a judging algorithm, the information judged as the safety personnel is temporarily stored in a cache cloud, the safety linkage module allows the personnel stored in the cache cloud to enter the real area and does not allow the personnel stored in the cache cloud to enter the building in the real area, the safety linkage module uses simulation data to carry out deep learning training and form a reaction model, and when the information of the big data storage library is called, the data in the big data storage library is automatically matched to generate a directed graph;
The image monitoring module is used for carrying out regional monitoring on different places of the field area, monitoring the generated personnel images or video information, transmitting the information to the data acquisition module, transmitting the information to the distributed storage node, transmitting the information to the safety linkage module by the distributed storage node, judging whether the personnel is abnormal according to the directed graph when the personnel is an internal personnel of the field area, if the personnel is abnormal, sending out early warning information, if the personnel is not abnormal, not carrying out any processing, judging whether the personnel is data temporarily stored in the cache cloud, if the personnel is not the internal personnel of the field area, sending out early warning information, if the personnel is not the internal personnel of the field area, adopting the reaction model, making a decision instruction, transmitting the decision instruction to the distributed storage node, transmitting the decision instruction to the data acquisition module by the distributed storage node, feeding back the instruction to the image monitoring module by the data acquisition module, and reacting by the image monitoring module according to the instruction;
the safety linkage module stores long-term data into the big data storage library, and the safety linkage module stores short-term data into the cache cloud;
the safety linkage module collects early warning information and stores the early warning information in the early warning module;
The early warning module is in information interaction with the safety linkage module, the safety linkage module sends out instructions to control the early warning module to perform early warning, the early warning module sends out early warning to personnel, and the personnel are ejected from buildings or field areas in the field area.
Referring to fig. 2, the determination algorithm used by the safety linkage module specifically includes:
counting the times of entering the field area by personnel;
Based on the behaviors of the personnel entering the real area each time, scoring the behaviors of the personnel according to the law of the real area, and obtaining the scores of the behaviors of the personnel entering the real area each time Wherein, one of the rules of the field area is met, one score is added, and one score is deducted when the one of the rules of the field area is violated;
Judging whether the behavior scores of the personnel entering the real area each time are larger than a first preset value, if so, marking the personnel as personnel to be verified, and if not, judging as dangerous personnel;
for a person to be verified, calculating a person assessment score through a comprehensive scoring formula based on the number of times the person enters the field area and the behavior score of each time the person enters the field area;
Judging whether the personnel assessment score is larger than a second preset value, if so, judging the personnel to be safe, and if not, judging the personnel to be dangerous;
the comprehensive scoring formula is: ，
Wherein A is a person's rating score, Scoring each time of entering the field area, wherein n is the number of times of entering the field area;
That is, when the personnel show to conform to the rules of the partial field area, even if the personnel are not the personnel in the field area, the personnel are still allowed to appear in the area outside the field area building, for example, a taker can enter the field area to send takeaway to the outside of the corresponding building, so that convenience can be improved, when a single malicious event occurs, the score is lower than a first preset value, the score is directly disqualified, and the personnel are forbidden to enter the field area later, so that the safety of the field area is ensured, and the identification is flexible.
The safety linkage module uses the simulation data to carry out the deep learning training specifically comprises the following steps:
generating a flow graph comprising Wherein, the method comprises the steps of, wherein,Store reaction instruction information,/>Various first-level instructions are stored,Store various secondary instructions,/>Store common data pattern information,/>Point to the correspondingPoint to the corresponding/>Thereby forming/>For the formed directional chain, verifying the rationality of the directional chain, monitoring by using analog data, receiving data by a safety linkage module, and matching the corresponding/>' according to a data modeHas an oriented chain corresponding thereto/>The safety linkage module executes/>, in sequenceFirst order instruction and/>The second order instruction in (2) judges the directed chain/>, according to the rationality of the actual effect of the instructionIf there is a directed chain/>If the first-order instruction is unreasonable, the first-order instruction or the second-order instruction is unreasonable, and if the first-order instruction is unreasonable, the/>Directional/>If the second order instruction is unreasonable, change/>Directional/>For new/>The directional chains continue to verify until all the directional chains generate instructions meeting the reality for the simulation data, and the safety linkage module stores all the directional chain information to form a reaction model;
In the course of the training process, Can correspond to a plurality of/>May also correspond to a plurality of/>Form a plurality of/>So that when meeting/>Will result in a pointing/>And then point to/>Thereby obtaining a series of operations, according to the rationality of the operations, pair/>Corresponding plurality/>Screening and limiting, shrinking/>Range of (5)/>Corresponding plurality/>Screening and defining, shrinking/>So that/>Directed chain of (2) such that/>The directional chain of (2) is more reasonable, thereby completing training and lifting can be performed，/>Based on (1) >, newly addAnd training is performed again in the manner described above.
Referring to fig. 3, the numbering of the field areas includes the steps of:
numbering personnel in the real area stored in the big data storage library, wherein the number is ；
Numbering a plurality of blocks divided by parts except for buildings in a real area, wherein the number is；
Numbering the field area buildings with the number of。
Referring to fig. 4, the security linkage module stores short-term data in a cache cloud specifically includes:
storing instant cleaning information, short-term temporary storage information and long-term temporary storage information to a cache cloud;
The instant cleaning information is cleaned in a first preset time;
the short-term temporary storage information is cleaned in a second preset time;
Cleaning the long-term temporary storage information in a third preset time;
The third preset time is longer than the second preset time, and the second preset time is longer than the first preset time.
The automatic matching of data in a big data storage library to generate a directed graph comprises the following steps:
Statistics and establishment of personnel in real area Real regional area block/>, with occurrence number greater than preset numberAnd field area building/>Build mapping, will/>Mapping to/>And/>Map all to/>/>Composition set/>Map all to/>/>Composition set/>Form a block/>, related to the real area regionAnd field area building/>Directed graph/>Therefore, when calling data comparison, only the corresponding/> is required to be called according to the placeAnd/>Because personnel inside the real area are necessarily present in/>And/>In, thus pair/>And/>Search if the person is not/>And/>The personnel in the real area are almost not necessarily personnel in the real area, and the comparison does not need to call the whole data, so that the pressure of the server can be reduced, and the identification speed can be increased.
Referring to fig. 5, the safety linkage module judges whether the position of a person is abnormal according to the directed graph, and includes the following steps:
Determining the appearance position of a person;
if the personnel appear position is the area block in the real area The information calling module transmits an instruction, and the safety linkage module calls/>In/>Safety linkage module compares personnel and/>If there is the image information of the person image, the person image is identical to the image information of the person imageJudging that the position of the person is not abnormal, and if not, judging that the position of the person is abnormal;
if the personnel appear in the site area building The information calling module transmits an instruction, and the safety linkage module calls/>In/>Safety linkage module compares personnel and/>If there is the image information of the person image, the person image is identical to the image information of the person imageAnd judging that the personnel position is not abnormal, and if not, judging that the personnel position is abnormal.
Still further, the present solution also proposes a storage medium, on which a computer readable program is stored, the computer readable program executing the above-mentioned safety linkage early warning system based on field monitoring when called.
It is understood that the storage medium may be a magnetic medium, e.g., floppy disk, hard disk, magnetic tape; optical media such as DVD; or a semiconductor medium such as a solid state disk SolidStateDisk, SSD, etc.
In summary, the invention has the advantages that: through setting up safety linkage module, image monitoring module and early warning module, can carry out nimble discernment to the foreign personnel, to the security personnel, allow its scope activity outside the building of field area for personnel such as takeaway can get into the field area activity, judge whether its position of appearing is its frequent regional that appears to the inside personnel of field area, and then can discern the abnormal conditions of the inside personnel of field area.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. Safety linkage early warning system based on monitoring in the field, characterized by comprising:
the regional numbering module is used for numbering and dividing real regions;
the data acquisition module is used for carrying out face acquisition pretreatment on personnel in the real area, and uploading information to the distributed storage nodes;
The safety linkage module stores the data uploaded by the distributed storage nodes into a big data storage library, the big data storage library finishes the image storage of personnel in the real area, the safety linkage module judges the safety of the personnel according to a judging algorithm, the information judged as the safety personnel is temporarily stored in a cache cloud, the safety linkage module allows the personnel stored in the cache cloud to enter the real area and does not allow the personnel stored in the cache cloud to enter the building in the real area, the safety linkage module uses simulation data to carry out deep learning training and form a reaction model, and when the information of the big data storage library is called, the data in the big data storage library is automatically matched to generate a directed graph;
The image monitoring module is used for carrying out regional monitoring on different places of the field area, monitoring the generated personnel images or video information, transmitting the information to the data acquisition module, transmitting the information to the distributed storage node, transmitting the information to the safety linkage module by the distributed storage node, judging whether the personnel is abnormal according to the directed graph when the personnel is an internal personnel of the field area, if the personnel is abnormal, sending out early warning information, if the personnel is not abnormal, not carrying out any processing, judging whether the personnel is data temporarily stored in the cache cloud, if the personnel is not the internal personnel of the field area, sending out early warning information, if the personnel is not the internal personnel of the field area, adopting the reaction model, making a decision instruction, transmitting the decision instruction to the distributed storage node, transmitting the decision instruction to the data acquisition module by the distributed storage node, feeding back the instruction to the image monitoring module by the data acquisition module, and reacting by the image monitoring module according to the instruction;
the safety linkage module stores long-term data into the big data storage library, and the safety linkage module stores short-term data into the cache cloud;
the safety linkage module collects early warning information and stores the early warning information in the early warning module;
the early warning module is in information interaction with the safety linkage module, the safety linkage module sends out an instruction to control the early warning module to perform early warning, the early warning module sends out early warning to personnel, and the personnel are ejected from buildings or field areas in the field area;
the judging algorithm specifically comprises the following steps:
counting the times of entering the field area by personnel;
Based on the behaviors of the personnel entering the real area each time, scoring the behaviors of the personnel according to the law of the real area, and obtaining the scores of the behaviors of the personnel entering the real area each time Wherein, one of the rules of the field area is met, one score is added, and one score is deducted when the one of the rules of the field area is violated;
Judging whether the behavior scores of the personnel entering the real area each time are larger than a first preset value, if so, marking the personnel as personnel to be verified, and if not, judging as dangerous personnel;
for a person to be verified, calculating a person assessment score through a comprehensive scoring formula based on the number of times the person enters the field area and the behavior score of each time the person enters the field area;
Judging whether the personnel assessment score is larger than a second preset value, if so, judging the personnel to be safe, and if not, judging the personnel to be dangerous;
The comprehensive scoring formula is as follows: ，
Wherein A is a person's rating score, For each entry into the field area, the behavior score, n, is the number of entries into the field area.
2. The safety linkage early warning system based on field monitoring according to claim 1, wherein the safety linkage module uses analog data for deep learning training specifically comprises the following steps:
generating a flow graph comprising ，/>…/>，/>，/>…/>，/>，/>…/>Wherein/>，/>…/>，，/>…/>Store reaction instruction information,/>，/>…/>Store various first-level instructions,/>，/>…/>Store various secondary instructions,/>，/>…/>Store common data pattern information,/>Point to the corresponding/>，/>Point to the corresponding/>Thereby forming/>→/>→/>For the formed directional chain, verifying the rationality of the directional chain, monitoring by using analog data, receiving data by a safety linkage module, and matching the corresponding/>' according to a data mode，/>Has an oriented chain corresponding thereto/>→/>→/>The safety linkage module executes/>, in sequenceFirst order instruction and/>The second order instruction in (2) judges the directed chain/>, according to the rationality of the actual effect of the instruction→/>→/>If there is a directed chain/>→/>→/>If the first-order instruction is unreasonable, the first-order instruction or the second-order instruction is unreasonable, and if the first-order instruction is unreasonable, the/>Directional/>If the second order instruction is unreasonable, change/>Directional/>For new/>→/>→And continuing to verify the directed chain until all the directed chains generate instructions meeting the reality for the simulation data, and storing all the directed chain information by the safety linkage module to form a reaction model.
3. The safety linkage early warning system based on field monitoring according to claim 2, wherein the numbering of the field areas comprises the steps of:
numbering personnel in the real area stored in the big data storage library, wherein the number is ；
Numbering a plurality of blocks divided by parts except for buildings in a real area, wherein the number is；
Numbering the field area buildings with the number of。
4. The field monitoring-based safety linkage early warning system according to claim 3, wherein the safety linkage module stores short-term data in a cache cloud specifically comprises:
storing instant cleaning information, short-term temporary storage information and long-term temporary storage information to a cache cloud;
The instant cleaning information is cleaned in a first preset time;
the short-term temporary storage information is cleaned in a second preset time;
Cleaning the long-term temporary storage information in a third preset time;
The third preset time is longer than the second preset time, and the second preset time is longer than the first preset time.
5. The field monitoring-based safety linkage early warning system according to claim 4, wherein the automatic matching of data in the big data storage library to generate a directed graph comprises the following steps:
Statistics and establishment of personnel in real area Real regional area block/>, with occurrence number greater than preset numberAnd field area building/>Build mapping, will/>Mapping to/>And/>Map all to/>/>Composition set/>Map all to/>/>Composition set/>Form a block/>, related to the real area regionAnd field area building/>Is a directed graph V of (a).
6. The safety linkage early warning system based on field monitoring according to claim 5, wherein the safety linkage module judges whether the position of the person is abnormal or not according to the directed graph, and comprises the following steps:
Determining the appearance position of a person;
if the personnel appear position is the area block in the real area The information calling module transmits an instruction, and the safety linkage module calls/>In/>Safety linkage module compares personnel and/>If there is the image information of the person image, the person image is identical to the image information of the person imageJudging that the position of the person is not abnormal, and if not, judging that the position of the person is abnormal;
if the personnel appear in the site area building The information calling module transmits an instruction, and the safety linkage module calls/>In/>Safety linkage module compares personnel and/>If there is the image information of the person image, the person image is identical to the image information of the person imageAnd judging that the personnel position is not abnormal, and if not, judging that the personnel position is abnormal.
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