CN114743330B - Museum safety protection system based on wi-fi channel state information - Google Patents
Museum safety protection system based on wi-fi channel state information Download PDFInfo
- Publication number
- CN114743330B CN114743330B CN202210256652.6A CN202210256652A CN114743330B CN 114743330 B CN114743330 B CN 114743330B CN 202210256652 A CN202210256652 A CN 202210256652A CN 114743330 B CN114743330 B CN 114743330B
- Authority
- CN
- China
- Prior art keywords
- museum
- identification
- equipment
- personnel
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000011161 development Methods 0.000 claims description 15
- 238000012549 training Methods 0.000 claims description 9
- 230000009471 action Effects 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 5
- 238000004140 cleaning Methods 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000005286 illumination Methods 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 claims description 2
- 230000008439 repair process Effects 0.000 claims description 2
- 230000007717 exclusion Effects 0.000 claims 2
- 230000008859 change Effects 0.000 abstract description 4
- 230000007123 defense Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 230000002265 prevention Effects 0.000 description 4
- 239000002775 capsule Substances 0.000 description 3
- 230000002354 daily effect Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000003245 working effect Effects 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- FFGPTBGBLSHEPO-UHFFFAOYSA-N carbamazepine Chemical compound C1=CC2=CC=CC=C2N(C(=O)N)C2=CC=CC=C21 FFGPTBGBLSHEPO-UHFFFAOYSA-N 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000011478 gradient descent method Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000009191 jumping Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 230000002787 reinforcement Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/22—Electrical actuation
- G08B13/24—Electrical actuation by interference with electromagnetic field distribution
- G08B13/2491—Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Electromagnetism (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides a museum safety protection system based on wi-fi channel state information, and belongs to the technical field of museum safety management. The museum safety protection system comprises a data acquisition system, a data processing system, an identification model, an equipment arrangement system and an alarm system. The characteristic signals formed by the fact that the wi-fi channel state information is interfered by a human body are used as identification bases, and the characteristic signals of a forbidden area environment, a patrol route of a patrol working group, a working place of museum staff and the like can be collected. The whole safety protection system can identify the identity of personnel, identify workgroups and identify the environment of a restricted area without needing the personnel to wear any electronic equipment. Meanwhile, the safety protection system is identified by using the change of the wi-fi channel state information, so that the special requirements of videos, face identification and the like on light are avoided, and the safety protection system has the advantages of good concealment, no need of lighting equipment, difficulty in camouflage of human behavior characteristics and the like.
Description
Technical Field
The invention relates to the technical field of museum safety management, in particular to a museum safety protection system based on wi-fi channel state information.
Background
Museums are non-profit permanent facilities which serve the society and its development and open to the public, and collect, protect, research, spread and reveal the physical and non-physical heritages of human and human environment for the purposes of education, research and appreciation. Museums are organizations providing cultural services for society and are core components of the cultural industry. With the rapid development of society and science and technology, various crime means which appear newly provide more challenges for the security system of the museum, so that the museum has to strengthen the force of increasing physical and personal defense and greatly improve the technical precaution measures and the capability to ensure the safety of exhibits of the museum. Even though the security measures of museums of all countries in the world are continuously enhanced, theft incidents still occur in the museums. The frequent theft of cultural relics in a museum leads countries to pay more and more attention to the construction of security systems in the museum.
The technical defense is the extension and the reinforcement of the civil defense and the physical defense, and along with the development of scientific technology, the technical defense also puts forward higher and more updated requirements on security technology protection facilities and system technology of the museum, so that the automation and intelligent comprehensive protection capability of the security system is required to be improved, and the system is required to have high stability, high reliability and easy operation and management.
The museum security system gradually forms a security protection net for cultural relics by establishing different protection areas such as a perimeter, a monitoring area, a protection area and a forbidden area. Most of cultural relics, collections and exhibits in various museums are stored in storehouses and exhibition halls, and other parts of cultural relics can be temporarily stored in working areas for cultural relic repair, cleaning and the like, so that the safety protection requirement of the areas is the highest, and the museums belong to forbidden areas. In addition, in order to prevent criminals from damaging the security system, the weak electric well, the electromechanical equipment room and the security control center should be protected by setting up forbidden zones. In the aspect of technical prevention, a security alarm device with advanced and intelligent technology is arranged in a prevention area, and various rechecking means are provided. Different types of alarm devices and arming time are arranged in the protection area and the forbidden area, if the exhibition hall area is in a building, the alarm system of the activity area of the audience is in a disarming state, and the area is the forbidden area after the building is closed, the alarm system is restarted, and all-dimensional arming monitoring is implemented. For the forbidden zone and the important monitoring area, the defense is laid for 24 hours.
At present, museums adopt different 'technical prevention' measures to protect different precaution areas, the existing methods adopt alarm detectors formed by different detection principles to protect protected targets by multiple rechecking measures, but the alarm detectors adopted by the museums have certain defects, so that 'technical prevention' measures cannot find criminals in time, the protected targets are stolen or damaged, several cases of stealing through damaging doors and windows occur at home and abroad in recent years, and the museums are disastrous.
In order to maintain the normal operation of the museum, a large number of workers can enter and exit the museum every day, the authorities owned by different guard area workers are different, the access control systems of different types need to be arranged to identify the workers, the investment of capital is large, meanwhile, the system can not actively identify and prevent the workers in the department from leading the personnel without the authority to enter the guard area, the workers can not be prevented from jumping posts to other guard areas during the working hours, the workers in the department can not be prevented from entering the guard area in the non-working time, and the potential hazards are brought to the safety of the museum.
Security personnel patrol according to the specified time and patrol route, and the method is an important 'civil defense' measure for ensuring the collection safety of museums. Electronic patrol systems are additionally arranged in museums to serve security personnel in patrol, and patrol work of the security personnel is supervised and recorded through patrol data.
The detectors adopted in the existing museum have some defects, and can be influenced by conditions such as birds, fallen leaves, small animals, bad weather and the like; influenced by various heat sources, sunlight source interference, air temperature and relative humidity and the like; the situations of false alarm and false alarm are generated under the influence of high-frequency vibration, ultrasonic interference and the like, so that potential safety hazards exist in the security work of the museum. Therefore, the invention provides a safety protection system which has the advantages of wide application range, low security capital investment, low requirement on installation environment, good concealment and high reliability, can identify the identities of workers at different posts of a museum, and can discover the potential safety hazards inside and outside the museum in time, and particularly relates to a security protection system for the museum based on wi-fi channel state information, which is a problem to be solved urgently.
Disclosure of Invention
The system aims at the following problems of the existing museum safety protection system: 1) The equipment investment is large; 2) False alarm and false alarm caused by weather, temperature, vibration, dead angle detection and other reasons of related detectors; 3) The requirement on the light of a video monitoring environment is high, and biological recognition technologies such as face recognition are limited. The invention provides a museum safety protection system based on wi-fi channel state information.
The technical scheme of the invention is as follows:
a museum safety protection system based on wi-fi channel state information comprises a data acquisition system, a data processing system, an identification model, an equipment arrangement system and an alarm system.
The data acquisition system includes: every 2 esp32 development boards are a group, and are used for transmitting and receiving wi-fi signals, so that the behavior characteristics of all the staff in the museum in the working range of the museum can be acquired without specific actions of the staff, and the acquired behavior characteristics serve as a data set for personnel safety identification. For security personnel of a museum, all security personnel on duty can be arranged and combined according to the number of people who patrol the personnel, and data which is characterized in that all security personnel on duty are arranged and combined on a patrol route is collected and used as a data set for work group security identification. The method comprises the steps of completely closing doors and windows in the forbidden areas such as exhibition halls where people cannot stay after the closed house, collecting characteristic data under the conditions that no people are present, different seasons and weather conditions, and using the characteristic data as a data set for identifying the safety of the forbidden areas.
The data processing system includes: and carrying out feature extraction on the human body behavior features, the working group behavior features and the forbidden zone environment features of the acquired data by using a neural network, and taking the extracted features as a training set of identity recognition, working group recognition and a forbidden zone environment model.
The identification model is as follows: according to the collected behavior characteristic data of all the staff in the museum in the working range of the museum, the behavior characteristic data of all the patrolmen arranged and combined on the patrolling route and the characteristic data of the forbidden area environment. Three models, namely a human behavior feature recognition model, a work group behavior feature recognition model, a forbidden zone environment feature recognition model and the like are respectively established. And taking the data after the characteristic extraction of the data processing system as a training set to train the model. The model is enabled to upload data acquired by the equipment arrangement system to a computer end through the esp32 to serve as data to be identified, personnel safety identification, workgroup safety identification and forbidden zone environment safety identification are carried out through the identification model, and an abnormal identification result is responded.
The equipment arrangement system is characterized in that the esp32 development boards are arranged in groups to form a wi-fi signal transmitting end and a receiving end, the wi-fi signal transmitting end and the receiving end are used for collecting data of the behavior characteristics of museum staff, the behavior characteristics of work groups and the environment characteristics of forbidden areas, and the transmitting end and the receiving end can be arranged at places which are not easy to observe, such as the top of an unshaded room. The equipment arrangement system comprises arrangement modes of arrangement of equipment in a working area, arrangement of equipment in an forbidden area, arrangement of equipment in a night patrol area and the like. The arrangement of the devices in the working area refers to the arrangement of the devices in the daily working range of museum workers. The arrangement of the forbidden zone equipment comprises equipment arrangement in an exhibition hall, equipment arrangement in a storehouse, cultural relic restoration and cleaning zone, equipment arrangement in a weak electric well and a room for electromechanical equipment and equipment arrangement in a security control center. The arrangement of the equipment in the patrol area refers to the arrangement of the equipment along the patrol route.
Preferably, in order to ensure the safety of the equipment operation, the effective working range of the esp32 development board is considered in the equipment arrangement, and generally, the effective working range is centered on the esp32 development board, and the action radius should not exceed 10 meters. Such as in a showroom, should be arranged in a matrix of equally spaced dots to ensure good performance.
The alarm system comprises a personnel safety identification system, a workgroup safety identification system, a forbidden zone environment safety identification system, a voice alarm system, an alarm bell alarm system, a light alarm system and the like.
The personnel safety identification system can judge the personnel safety identification system by comparing the result of personnel identity identification with the preset time and the preset moving range of personnel (including personnel in the hall and personnel outside the hall) according to the identification model system.
The work group safety identification system can compare the result of the identification of the work group of the actual patrol security personnel with the preset time, the patrol route and the personnel composition according to the identification model system, and judge the work group safety identification system.
The forbidden zone environment safety identification system can judge the forbidden zone environment safety identification system by comparing the identification result of the forbidden zone actual environment with the preset forbidden zone environment according to the identification model system.
The voice alarm system is a voice playing device arranged in the museum range, and when the unsafe events are identified by the safety identification systems, warning words are provided for the parties, the working group and the security control center through the voice alarm system.
The voice alarm system can be arranged independently or can be a system utilizing museum primitive sound playing.
The alarm bell alarm system is alarm bell alarm equipment which is arranged in the range of a museum and can make a huge ambitious sound, when the voice alarm system can not prevent unsafe events from continuing to develop, the alarm bell alarm system makes the museum make a huge ambitious alarm bell and give an alarm to public security departments at the places of the museum.
The alarm system can be set independently or can utilize the original alarm system of museum.
The light alarm system is lighting equipment arranged in the range of a museum, the voice alarm system cannot prevent unsafe events from continuing to develop at night, and the lighting equipment started simultaneously with the alarm system directly illuminates the area where the unsafe events occur by using a lamp so that image data can be left by the camera equipment.
The light alarm system can be arranged independently or can utilize the original illumination system of the museum.
The invention has the beneficial effects that: the invention utilizes the characteristic signal formed by the interference of the wi-fi channel state information by the human body as the identification basis, and can collect the characteristic signals of the forbidden area environment, the patrol route of the patrol working group, the working place of museum staff and the like. The whole safety protection system can identify the identity of personnel, identify a workgroup and identify the environment of a forbidden zone without needing the personnel to wear any electronic equipment. Meanwhile, the safety protection system is identified by using the change of the wi-fi channel state information, so that the special requirements of videos, face identification and the like on light rays are avoided; has strong anti-interference capability to external weather, temperature and other changes. The identification by utilizing the wi-fi channel state information has the advantages of good concealment, no need of lighting equipment, difficulty in disguising human behavior characteristics and the like. Meanwhile, the conditions of door and window change and personnel entering and exiting in the forbidden zone can be monitored, and the conditions of false alarm and missed alarm of the security equipment of the museum are effectively avoided. When the museum personnel take change conditions such as retirement or leaving, the maintenance and the updating of the safety protection system can be completed only by moving the labels of the personnel in the personnel safety identification model into the illegal label set or moving all the labels of the working groups related to the personnel in the working group safety identification model into the illegal label set, so that the safety protection management of the museum is convenient and fast, and the safety protection management cost is reduced.
Drawings
FIG. 1 is a block diagram of a museum security system based on wi-fi status channel information.
Fig. 2 shows the schematic layout of the exhibition hall of the wi-fi signal transmitting terminal and the receiving terminal.
FIG. 3 is a flow diagram of alarm system personnel safety identification.
FIG. 4 is a flow chart of alarm system workgroup security identification.
FIG. 5 is a flow chart of alarm system forbidden zone environmental security identification.
Detailed Description
The invention is further described with reference to the following drawings and specific embodiments:
referring to fig. 1, the invention provides a museum safety protection system based on wi-fi channel state information, which comprises a data acquisition system, a data processing system, an identification model, an equipment arrangement system and an alarm system.
The data acquisition system includes: the esp32-S2 development board produced by 2 Lexin companies transmits and receives wi-fi signals, and can acquire the behavior characteristics of all staff in the work range of the museum without specific actions of the staff as a data set for personnel safety identification. For security personnel of a museum, all personnel on duty can be arranged and combined according to the number of the patrolmen, and data which is characterized in that all the personnel on duty are arranged and combined on a patrolman route is collected and used as a data set for work group safety identification. The method comprises the steps of completely closing doors and windows in the forbidden areas such as exhibition halls where people cannot stay after the closed house, collecting characteristic data under the conditions that no people are present, different seasons and weather conditions, and using the characteristic data as a data set for identifying the safety of the forbidden areas.
The data processing system includes: and performing feature extraction on the acquired original data by using a convolutional layer in the capsule network through a gradient descent method to serve as input features of an identity recognition model, a workgroup recognition model and a forbidden region environment model. The identification model is as follows: according to the collected behavior characteristic data of all the staff in the museum in the working range of the museum, the behavior characteristic data of all the patrol staff arranged and combined on the patrol route and the characteristic data of the forbidden area environment. Three models, namely a human behavior feature recognition model, a working group behavior feature recognition model, a forbidden zone environment feature recognition model and the like are respectively established. The three models are identified and classified by using a capsule network, and the capsule network trains the models by using data processed by a data processing system as input characteristics through a convolutional layer described in the data processing system. The model is enabled to upload data acquired by the equipment arrangement system to a computer end through esp32 to serve as data to be identified, personnel safety identification, work group safety identification and forbidden region environment safety identification are carried out through the identification model, and abnormal identification results are responded. Referring to fig. 1 and 2, the equipment arrangement system arranges the esp32 development boards in groups into a wi-fi signal transmitting terminal and a receiving terminal for acquiring data of museum staff behavior characteristics, work group behavior characteristics and forbidden area environment characteristics, and the transmitting terminal and the receiving terminal can be arranged at places which are not easy to observe, such as the top of an unshaded room. The equipment arrangement system comprises arrangement modes such as equipment arrangement in a working area, equipment arrangement in an forbidden area, equipment arrangement in a night patrol area and the like. The working area equipment arrangement refers to equipment arrangement in the daily working range of museum staff. The forbidden zone equipment arrangement comprises exhibition hall equipment arrangement, storehouse equipment arrangement, cultural relic restoration and cleaning zone equipment arrangement, weak electric well and electromechanical equipment room equipment arrangement, security and protection control center equipment arrangement and the like. The patrol area equipment arrangement refers to equipment arrangement along the patrol route. In order to ensure the safety of the equipment operation, the effective working range of the espep 32 development board is considered in the equipment arrangement, and generally, the effective working range is centered on the espep 32 development board, and the action radius is not more than 10 meters. Such as in exhibition halls, should be arranged in a matrix of equally spaced dots to ensure good performance.
Referring to fig. 1, 3, 4 and 5, the alarm system includes a personnel safety identification system, a workgroup safety identification system, an forbidden zone environment safety identification system, a voice alarm system, an alarm bell alarm system, a light alarm system, etc.
Referring to fig. 3, the personnel safety identification system can judge the personnel safety by comparing the result of identifying the identity of the personnel with the preset time and daily working range of the personnel (including the personnel in the hall and the personnel outside the hall) according to the identification model. For example, a working range of a certain worker works in an office area of a second floor of a museum, behavior characteristic data of the working area which can be reached by the certain worker is collected when the data are collected, the data are processed and then used as a training set for training a human behavior characteristic recognition model, all activities of the worker in the office area of the second floor are regarded as safe, and if the worker arrives at the office area of other floors, the worker is recognized as unsafe by a worker safety recognition system and reacts to give a voice alarm prompt. If the second floor office area after the closed house is set as the forbidden area, the worker enters the second floor office area after the closed house, is identified as unsafe by the personnel safety identification system, and makes a response to prompt by voice alarm. If the staff retires or leaves, the maintenance and the updating of the system can be completed only by moving the labels of the staff in the model into the illegal label set, if the staff enters the original second floor office area again, the staff is identified as unsafe by the staff safety identification system, and the difficulty of museum security management is simplified.
Referring to fig. 4, the identification system for identifying the safety of the workgroup can compare the identification result of the actually participating patrol security personnel workgroup with the preset time, patrol route and personnel composition according to the identification model, and judge the safety of the workgroup. For example, security personnel of a certain museum are divided into four groups, patrol work in the daytime and at night is carried out in a four-shift three-operation mode, when data are collected, all the security personnel are arranged and combined according to the groups formed by different personnel, and data collection is carried out on a patrol route. After data processing is carried out and the data is used as a training set for training a behavior feature recognition model of a working group, a museum selects four groups of permutation and combination as duty arrangement of a certain month, working time of each group is set, four groups of people patrol and are recognized as safe by a safety recognition system of the working group in the working time, but if the group of people is not on duty or one person in the group of people is not the duty person arranged in the museum, the four groups of people are recognized as unsafe by the safety recognition system of the working group and react to carry out voice alarm prompting. Therefore, the occurrence of random shift phenomenon can be avoided, and meanwhile, the local adjustment can be carried out on the person on duty every month. If the security personnel have the staff retired or leave the duty, the maintenance and the updating of the system can be completed only by moving all the labels of the working groups related to the security personnel in the model into the illegal label set, if the security personnel enter the museum again, the security personnel are identified as unsafe by the personnel security identification system, and all the working group combinations related to the security personnel are identified as unsafe by the working group security identification system, so that the security management difficulty of the museum is simplified.
Referring to fig. 5, the identification system for identifying the environmental security of the forbidden zone can compare the result of identifying the actual environment of the forbidden zone with the preset forbidden zone environment according to the identification model, and determine the environmental security of the forbidden zone. For example, a certain museum carries out forbidden zone working state data acquisition on all places set as forbidden zones (the exhibition zone is the forbidden zone at night, and people cannot move, the data of the acquired exhibition zone should be tightly closed at doors and windows, and the data acquisition is carried out under the condition of no people). After data processing is carried out, the data are used as a training set to be trained by an environment feature recognition model of a forbidden zone, once unnecessary personnel, doors and windows are opened or glass is broken in all forbidden zones, a wi-fi signal is diffracted, the wi-fi channel state information is changed, the environment security recognition system of the forbidden zone can recognize that the situation is unsafe, and the situation reacts to inform a patrol staff and a security control center.
Referring to fig. 1, fig. 3 and fig. 4, the voice alarm system is a voice playing device arranged in the range of a museum, and when each safety recognition system recognizes unsafe events, warning words are provided to parties, a workgroup and a security control center through the voice alarm system. The voice alarm system can be arranged independently or can be a system utilizing museum primitive sound playing.
If a certain staff of the museum appears in non-working time or exceeds the working activity range, and people outside the museum enter the museum area outside the exhibition area and are identified as unsafe by the personnel safety identification system, the personnel safety identification system gives an alarm through the voice alarm system in response. And timely sending out voice warnings such as 'you should not appear in the area at the time, please return immediately', 'you are out of the working activity range of the user, please return to the working position of the user immediately', 'the user is good, you should not appear in the area, and please return immediately', and the like. If the prompt is given to the person through voice for several times, the person still cannot be stopped. Then the alarm bell alarm system and the light alarm system are started.
If the museum security guard night patrol working group appears in non-working time or the duty personnel with members in the working group arranged as non-museums are identified as unsafe by the working group safety identification system, the working group safety identification system gives an alarm through the voice alarm system in response. And timely sending out voice warnings such as 'the people should not appear in the area at the time, please return immediately', 'non-on-duty personnel exist in the personnel, please inform the on-duty personnel to go on duty and do not need to replace the duty randomly', and the like. If the voice prompts the operator on duty several times, the voice prompt still cannot be prevented. Then the alarm bell alarm system and the light alarm system are started.
Referring to fig. 1, fig. 3, fig. 4 and fig. 5, the alarm bell alarm system is a bell alarm device which is arranged in the range of a museum and can make a huge ambitious sound, when the voice alarm system can not prevent unsafe events from continuing to develop or unsafe events in a forbidden zone can not be solved by operators on duty, the alarm bell alarm system can make the museum make a huge ambitious alarm bell and give an alarm to a public security department at the position of the museum. The alarm system can be set independently or can utilize the original alarm system of museum.
Referring to fig. 1, 3, 4 and 5, the light alarm system is a lighting device arranged in the range of a museum, and when the voice alarm system cannot prevent unsafe events from continuing to develop at night or when an operator on duty cannot solve the unsafe events in a forbidden zone, the lighting device started with the alarm system directly illuminates the area where the unsafe events occur by using a lamp so that the camera device leaves image data. The light alarm system can be arranged independently or can utilize the original illumination system of the museum.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, however, the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are within the protective scope of the present invention. It should be noted that the security application of the museum described in the above embodiment can be applied to other places with higher security requirements, and in order to avoid unnecessary repetition, the present invention does not separately describe various possible application places. In addition, the invention can be used in combination with various different embodiments, and the invention should be regarded as the disclosure of the invention as long as the invention does not depart from the idea of the invention.
Claims (3)
1. A museum safety protection system based on wi-fi channel state information is characterized by comprising a data acquisition system, a data processing system, an identification model, an equipment arrangement system and an alarm system;
the data acquisition system includes: every 2 esp32 development boards are in a group, the wi-fi signals are transmitted and received, and the data acquisition of the behavior characteristics of all the staff in the work range of the museum can be carried out without the need of specific actions of the staff, so that the data acquisition is used as a data set for personnel safety identification; for security personnel of a museum, all security personnel on duty can be arranged and combined according to the requirement of the number of people on duty of patrol personnel, and data which is characterized in that all security personnel on duty are arranged and combined on a patrol route is collected and used as a data set for safety identification of a workgroup; completely closing doors and windows in an exclusion area environment where no person stays after closing a building, and collecting characteristic data under the conditions of no person in the field, different seasons and weather as a data set for identifying the safety of the exclusion area environment;
the data processing system includes: carrying out human body behavior characteristic, work group behavior characteristic and forbidden region environment characteristic extraction on the acquired data by using a neural network, and taking the extracted data as a training set of identity recognition, work group recognition and a forbidden region environment model;
the identification model is as follows: according to the collected behavior characteristic data of all staff of the museum in the working range of the museum, the behavior characteristic data of all arranged and combined night patrol staff on the night patrol route and the characteristic data of the forbidden area environment; respectively establishing a human behavior feature identification model, a working group behavior feature identification model and a forbidden zone environment feature identification model; taking the data after the characteristic extraction of the data processing system as a training set to train the model; enabling the model to upload data acquired by the equipment arrangement system to a computer end through esp32 to serve as data to be identified, carrying out personnel safety identification, workgroup safety identification and forbidden region environment safety identification through the identification model, and reacting to an identification abnormal result;
the equipment arrangement system is characterized in that esp32 development boards are arranged in groups to form a wi-fi signal transmitting end and a receiving end, the wi-fi signal transmitting end and the receiving end are used for collecting data of the behavior characteristics of museum staff, the behavior characteristics of work groups and the environmental characteristics of forbidden areas, and the transmitting end and the receiving end can be arranged at the top of an unshielded room; the equipment arrangement system comprises the arrangement of equipment in a working area, the arrangement of equipment in an forbidden area and the arrangement of equipment in a night patrol area; the arrangement of the working area equipment refers to the equipment arrangement of museum staff in the daily working range; the arrangement of the forbidden zone equipment comprises exhibition hall equipment arrangement, storehouse equipment arrangement, cultural relic repair and cleaning zone equipment arrangement, weak electric well and electromechanical equipment room equipment arrangement and security control center equipment arrangement; the arrangement of the equipment in the patrol area refers to the arrangement of equipment along the patrol route;
the alarm system comprises a personnel safety identification system, a workgroup safety identification system, a forbidden zone environment safety identification system, a voice alarm system, an alarm bell alarm system and a light alarm system;
the personnel safety identification system can judge the personnel safety identification system according to the comparison of the result of the personnel identity identification by the identification model system with the preset time and the preset moving range of the personnel;
the workgroup safety identification system can compare the identification result of the actually involved working group of the patrol security personnel with the preset time, patrol route and personnel composition according to the identification model system, and judge the workgroup safety identification system;
the forbidden zone environment safety identification system can judge the forbidden zone environment safety identification system by comparing the identification result of the forbidden zone actual environment with the preset forbidden zone environment according to the identification model system;
the voice alarm system is a voice playing device arranged in the museum range, and when each safety recognition system recognizes unsafe events, warning words are provided to parties, a working group and a security control center through the voice alarm system;
the alarm bell alarm system is alarm bell alarm equipment which is arranged in the range of the museum and can give out a huge ambitious sound, when the voice alarm system can not prevent unsafe events from continuing to develop, the alarm bell alarm system can make the museum give out the huge ambitious alarm bell and give an alarm to a police department at the position of the museum;
the light alarm system is lighting equipment arranged in the range of a museum, the voice alarm system cannot prevent unsafe events from continuing to develop at night, and the lighting equipment started simultaneously with the alarm system directly illuminates the area where the unsafe events occur by using a lamp so that image data can be left by the camera equipment.
2. The system of claim 1, wherein the device layout considers an effective working range of the esp32 development board to ensure safety of device operation, and the effective working range is generally centered on the esp32 development board and should not exceed 10 meters in radius.
3. The system for protecting the security of the museum based on the wi-fi channel state information is characterized in that the voice alarm system can be independently arranged or can be a system for playing the original voice of the museum; the alarm system can be set independently or can use the original alarm system of museum; the light alarm system can be arranged independently or can be an original illumination system of a museum.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210256652.6A CN114743330B (en) | 2022-03-16 | 2022-03-16 | Museum safety protection system based on wi-fi channel state information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210256652.6A CN114743330B (en) | 2022-03-16 | 2022-03-16 | Museum safety protection system based on wi-fi channel state information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114743330A CN114743330A (en) | 2022-07-12 |
| CN114743330B true CN114743330B (en) | 2023-04-07 |
Family
ID=82277008
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210256652.6A Active CN114743330B (en) | 2022-03-16 | 2022-03-16 | Museum safety protection system based on wi-fi channel state information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114743330B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104766427A (en) * | 2015-04-27 | 2015-07-08 | 太原理工大学 | Detection method for illegal invasion of house based on Wi-Fi |
| CN107766830A (en) * | 2017-10-27 | 2018-03-06 | 华润电力技术研究院有限公司 | A kind of image detection alarm method and relevant device |
| CN108387940A (en) * | 2018-01-24 | 2018-08-10 | 西北工业大学 | A kind of detecting indoor article movement detection method based on Wi-Fi wireless awares |
| EP3387849A1 (en) * | 2015-12-09 | 2018-10-17 | Origin Wireless, Inc. | Method, apparatus, and systems for wireless event detection and monitoring |
| CN110363947A (en) * | 2019-07-11 | 2019-10-22 | 京东方科技集团股份有限公司 | The method and security system of illegal invasion are judged based on WIFI reflection signal |
| CN212484526U (en) * | 2020-09-22 | 2021-02-05 | 重庆亚亮科技有限公司 | Museum safety prevention and control management system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9036902B2 (en) * | 2007-01-29 | 2015-05-19 | Intellivision Technologies Corporation | Detector for chemical, biological and/or radiological attacks |
| CN106971474B (en) * | 2017-04-10 | 2020-02-04 | 南京苗米科技有限公司 | Intrusion monitoring method and system based on WIFI wireless signal |
| CN110908504B (en) * | 2019-10-10 | 2021-03-23 | 浙江大学 | Augmented reality museum collaborative interaction method and system |
-
2022
- 2022-03-16 CN CN202210256652.6A patent/CN114743330B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104766427A (en) * | 2015-04-27 | 2015-07-08 | 太原理工大学 | Detection method for illegal invasion of house based on Wi-Fi |
| EP3387849A1 (en) * | 2015-12-09 | 2018-10-17 | Origin Wireless, Inc. | Method, apparatus, and systems for wireless event detection and monitoring |
| CN107766830A (en) * | 2017-10-27 | 2018-03-06 | 华润电力技术研究院有限公司 | A kind of image detection alarm method and relevant device |
| CN108387940A (en) * | 2018-01-24 | 2018-08-10 | 西北工业大学 | A kind of detecting indoor article movement detection method based on Wi-Fi wireless awares |
| CN110363947A (en) * | 2019-07-11 | 2019-10-22 | 京东方科技集团股份有限公司 | The method and security system of illegal invasion are judged based on WIFI reflection signal |
| CN212484526U (en) * | 2020-09-22 | 2021-02-05 | 重庆亚亮科技有限公司 | Museum safety prevention and control management system |
Non-Patent Citations (2)
| Title |
|---|
| 博物馆安全防范系统纵深防护体系架构的设计研究;黄光伟;《中国优秀博硕士学位论文全文数据库》;20200215;第19-56页 * |
| 无线信号非接触感知观众行为的可行性分析;江翼成 等;《数字技术拓展博物馆服务——2021年北京数字博物馆研讨会论文集》;20210610;第36-45页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114743330A (en) | 2022-07-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN201681464U (en) | Prison security system | |
| CN112116503A (en) | Smart community cloud platform management system | |
| CN112383581A (en) | Front-end management system of smart community | |
| CN105979232B (en) | Video monitoring system for closed school | |
| CN102147940A (en) | Safe community technical control system based on residence permit and identity card door control management | |
| CN112116502A (en) | Smart community security management system | |
| CN113298444A (en) | Private cloud-based intelligent power safety control platform | |
| CN106205143A (en) | Intelligent bayonet networked system | |
| CN101610396A (en) | Intellective video monitoring device module and system and method for supervising thereof with secret protection | |
| CN105847098A (en) | Internet-of-things-based intelligent community management system | |
| Liu et al. | Application of Internet of Things in the community security management | |
| CN110349360B (en) | Building window area defense system and monitoring method | |
| CN109191767A (en) | A kind of wisdom safeguard management method and management system | |
| CN108205896A (en) | A kind of Campus transport safety intelligence monitoring and controlling manages system | |
| KR102036856B1 (en) | Integrated facility management system and method | |
| CN110111226A (en) | A kind of prison prisoner tertiary zone prevention management-control method and system | |
| CN106295470A (en) | A kind of bank self-help service area early-warning monitoring method, Apparatus and system | |
| CN201780612U (en) | Safe community technical control system based on residence permit and identity card entrance guard management | |
| CN114926314A (en) | Ubiquitous autonomous controllable Internet of things equipment system and method | |
| CN115022601A (en) | IOT deep learning intelligent early warning research and judgment system and method based on big data | |
| CN202268049U (en) | Intelligent monitoring and alarming system | |
| CN202563654U (en) | Novel community security system | |
| JP2002077882A (en) | Surveillance camera controlling and managing system | |
| CN114743330B (en) | Museum safety protection system based on wi-fi channel state information | |
| CN202615583U (en) | Community security system with information interaction function |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |