Intelligent patrol system

Abstract

The invention relates to the technical field of intelligent patrol, and particularly discloses an intelligent patrol system, which comprises a data acquisition end, which is used for checking the real-time position of an employee in a factory through the GPS, Bluetooth AOA or UWB technology, and dividing an electronic fence; the AI algorithm server is used for receiving the data acquired by the data acquisition end, analyzing and processing the data and then transmitting visual data to the comprehensive visual platform; and the comprehensive visual platform comprises a home page, system setting, equipment binding, a fence module, a map module, alarm information management, patrol track statistical analysis and other functions. The problem that the application of a GPS in an intelligent patrol environment is limited due to the defects of GPS positioning in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of intelligent patrol technology, and in particular to an intelligent patrol system. Background Art

[0002] The mainstream positioning system in the market is generally the GPS positioning system. GPS, or the Global Positioning System, is a satellite-based positioning technology. The system is mainly composed of a space part, a ground control part, and a user equipment part. The space part is a constellation composed of multiple GPS satellites. These satellites are orbiting at an altitude of about 20,200 kilometers from the earth. They will continuously send signals containing information such as satellite position and time to the ground; the ground control part includes monitoring stations, main control stations, and injection stations. The monitoring station is used to track satellites and collect various data from satellites. The main control station receives data from the monitoring station and manages and controls the satellite. The injection station sends updated satellite orbit and other information to the satellite; the user equipment part is mainly a GPS receiver. When the GPS receiver is turned on, it can receive signals sent by multiple satellites at the same time. GPS can provide users with high-precision three-dimensional position, speed and precise time information on a global scale. Under ideal conditions, its positioning accuracy can reach about 3-10 meters. Errors may occur due to atmospheric factors such as ionospheric delay and tropospheric delay, satellite orbit errors, multipath effects, etc.

[0003] But GPS positioning has the following disadvantages:

[0004] Poor GPS positioning signal penetration: GPS signals have difficulty penetrating buildings or other obstacles, so the positioning effect is poor indoors or underground;

[0005] Signal interference: Certain environmental factors (such as ionospheric interference, multipath effect, etc.) may affect the reception and positioning accuracy of GPS signals;

[0006] Positioning accuracy problem: GPS signals are often blocked by terrain and objects, which greatly reduces the accuracy. The signal availability is only 60%, or even unusable.

[0007] Dependence on the number of satellites: GPS devices rely on signals from at least four satellites. If only three or fewer are connected, positioning is not completely accurate.

[0008] Privacy issues: GPS devices may be used for illegal tracking or commercial purposes, invading personal privacy.

[0009] Commercial development: When GPS is combined with Internet technology, commercial organizations can use location data to collect user information or place advertisements, sparking controversy over data privacy and abuse.

[0010] These shortcomings limit the application of GPS in intelligent patrol environments. Summary of the invention

[0011] The purpose of the present application is to provide an intelligent patrol system to solve the problem that the shortcomings of GPS positioning in the prior art limit the application of GPS in the intelligent patrol environment.

[0012] To achieve the above-mentioned purpose, the embodiment of the present application provides an intelligent patrol system, including: a data collection terminal, which uses GPS, Bluetooth AOA or UWB technology to view the real-time location of employees in the factory and divide electronic fences;

[0013] An AI algorithm server, which is used to receive data collected by the data collection terminal, and transmit the visualization data to the integrated visualization platform after analyzing and processing;

[0014] The comprehensive visualization platform includes functions such as home page, system settings, device binding, fence module, map module, alarm information management, patrol trajectory statistical analysis, etc.

[0015] Optionally, the data collection terminal includes: an electronic bracelet, a smart badge, a surveillance camera;

[0016] When the data collection end is an electronic bracelet, the wearer's health data can be monitored in real time based on various detection sensors built into the electronic bracelet.

[0017] Optionally, when the data acquisition terminal detects human danger or reaches the alarm threshold set by the system, the data acquisition terminal transmits the data to the comprehensive visualization platform for voice pop-up linkage alarm.

[0018] Optionally, when the data collection terminal uses Bluetooth AOA technology to view the real-time location of employees in the factory and divide the electronic fence, it also includes:

[0019] A Bluetooth beacon is equipped on a data collection terminal of personnel or materials in a factory, and is used to set a power to periodically transmit a broadcast packet including device information, location number, and signal strength data.

[0020] Optionally, it also includes:

[0021] A positioning tag is arranged in the factory and is used to scan the data collection terminal and transmit the acquired data to the positioning base station through a wireless gateway;

[0022] A positioning base station, which is arranged in the factory and is used to collect information from the data collection end transmitted by the positioning tag;

[0023] The positioning server is used to obtain information from the data collection end of the positioning base station mobile phone through a wireless or wired network.

[0024] Optionally, when the data collection end uses UWB technology to view the real-time location of employees in the factory and divide the electronic fence, it also includes: a perception layer, a network layer, a platform layer, and an application layer, wherein:

[0025] The perception layer includes UWB positioning tags and UWB positioning base stations. The UWB positioning tags are equipped on personnel and equipment in the factory and are used to transmit ultra-wideband signals. The UWB positioning base stations are arranged in the factory and are used to receive signals transmitted by the positioning tags and transmit the signals to the network layer.

[0026] The platform layer includes a positioning engine and a database. The positioning engine processes and analyzes the data collected by the UWB positioning base station and calculates the location information of personnel and equipment using the UWB positioning algorithm. The database is used to store the location information, trajectory data, and warning information of personnel and equipment.

[0027] The application layer includes a real-time positioning module and a trajectory tracking module. The real-time positioning module is used to display the location information of personnel and equipment in real time on the large screen of the comprehensive visualization platform. The trajectory tracking module is used to track and analyze the movement trajectory of personnel and equipment to provide data support for security management.

[0028] Optionally, the network layer includes a wired network and a wireless network, and the wired network or the wireless network is used to transmit data collected by the UWB positioning base station to the AI ​​algorithm server.

[0029] Optionally, the UWB positioning algorithm includes Fang algorithm or Chan algorithm or Taylor series expansion method.

[0030] The embodiments of the present application have the following advantages:

[0031] Through the above scheme, this application has undergone system integration and technical fusion, so that its AI monitoring and positioning technology can realize the safe monitoring and management of personnel, equipment, and forklifts in the factory. In conjunction with the physiological data acquisition hardware terminal, the physiological health data and location information of personnel can be viewed in real time. It can be used for the safety supervision of factory inspection personnel, effectively prevent and reduce the occurrence of safety accidents of factory personnel and accidents in forklift operations, and improve operational efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the implementation methods of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings described below are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0033] Figure 1 A structural block diagram of an intelligent patrol system provided by at least one embodiment of the present application;

[0034] Figure 2 A schematic diagram of solving the coordinates of a mobile tag of an intelligent patrol system provided by at least one embodiment of the present application;

[0035] Figure 3 A factory layout plan of an intelligent patrol system using Bluetooth AOA technology provided in at least one embodiment of the present application. DETAILED DESCRIPTION

[0036] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0037] It should be noted that the steps in the claims and description of the present application may be executed substantially in parallel or in reverse order under appropriate circumstances, depending on the functions involved.

[0038] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0039] An embodiment of the present application provides an intelligent patrol system. Figure 1 , Figure 1 This is a structural block diagram of an intelligent patrol system provided in at least one embodiment of the present application. It should be understood that the system may also include additional blocks not shown and / or the blocks shown may be omitted, and the scope of the present application is not limited in this respect. The system includes:

[0040] The data collection end uses GPS, Bluetooth AOA or UWB technology to view the real-time location of employees in the factory and divide the electronic fence.

[0041] In some embodiments, the data collection terminal includes: an electronic bracelet, a smart badge, and a surveillance camera.

[0042] Specifically, the data collection terminal can record the patrol path of employees, which helps analyze patrol situations, optimize work arrangements, improve work efficiency, and improve factory safety management. There are many types of data collection terminal hardware to choose from, such as electronic bracelets, smart badges, surveillance cameras, etc. Such devices can use technologies such as GPS, Bluetooth AOA or UWB to view employees' real-time locations in the factory, divide electronic fences, and promptly detect whether workers have entered dangerous areas, making it easier to dispatch and manage personnel. In an emergency, the real-time positioning function of the data collection terminal can help management quickly find the location of employees, achieve rapid response and rescue, and prevent accidents and reduce losses (such as when people fall or SOS is triggered).

[0043] In some embodiments, the electronic wristband and the required configuration are as follows:

[0044] Integrated with advanced physiological monitoring sensor array, it can continuously monitor heart rate and steps simultaneously;

[0045] Support blood oxygen and sports fatigue monitoring;

[0046] Supports core indicators of more than 30 sports modes;

[0047] Support daily activity monitoring of walking, stillness, stairs, falls, long-term sitting, long-term lying and other behaviors;

[0048] Built-in high-precision GPS locator, which can realize the precise trajectory, moving speed and pace measurement during exercise;

[0049] Supports indoor and outdoor positioning, and supports fixed base stations and communication network access;

[0050] Built-in transflective color screen, ultra-low power consumption, always-on display, suitable for outdoor use;

[0051] Built-in MAXIM medical-grade physiological model analog front end;

[0052] Built-in high-end medical-grade discrete optical devices;

[0053] Support PPG, SPO2 multi-channel physiological data collection;

[0054] Built-in Bluetooth chip, supports BLE5.1 protocol, supports Bluetooth AOA positioning;

[0055] Built-in RFID chip, supports access control and small amount consumption;

[0056] Built-in high-precision air pressure sensor;

[0057] Built-in accelerometer and gyroscope assisted positioning, and motion recognition;

[0058] Built-in environmental and body temperature monitoring sensors with an accuracy of up to +-0.1 degrees;

[0059] Built-in Beidou and GPS dual-mode positioning, support WiFi positioning, LBS base station positioning;

[0060] Built-in eSIM card, supports air card issuance;

[0061] Support 4G LTE-CAT1 communication;

[0062] Support FOTA remote upgrade;

[0063] The design is reliable, with an all-inclusive design, liquid silicone strap, high-strength glass cover, ceramic face ring design, stainless steel metal buttons, and requires comfort to wear.

[0064] The AI ​​algorithm server uploads the data collected by the data acquisition terminal to the AI ​​algorithm server, and after analysis and processing, the visualization data can be transmitted to the comprehensive visualization platform.

[0065] Specifically, the AI ​​algorithm server supports multi-channel IPC access, supports the development and input of multiple behavior detection algorithms (such as intelligent identification of personnel, vehicles, dangerous situations, etc.), supports eight-core 64-bit large and small core architecture, and has a storage capacity of no less than 500gb.

[0066] After several years of technological iteration and hardware development, AI intelligent target detection technology has been successfully applied in multiple industries. The construction of AI video-assisted inspection modules has further improved on-site operation efficiency. Combining AI artificial intelligence technology with traditional monitoring solutions has resulted in a more intelligent "AI smart monitoring". AI smart monitoring can identify the specific behaviors of a variety of people and objects, and after data analysis, form visual analysis results for personnel to view;

[0067] (1) Building an intelligent monitoring and prevention system

[0068] Cameras and sensors are deployed in key areas of the factory to collect video and environmental data, integrate AI algorithms, conduct in-depth analysis of the collected data, improve monitoring efficiency and accuracy, and achieve all-round monitoring of personnel, machinery and equipment, materials, and environment, as well as on-site safety command.

[0069] (2) IoT deployment of multiple technologies

[0070] Through IoT data access, the system can detect and manage vehicle access checkpoints, workers' work clothes and hats, internal work areas, fireworks incidents, people climbing over perimeters, dangerous work behaviors, people falling, etc.

[0071] (3) Add real-time alarm function

[0072] Taking into account the actual situation of the factory, in addition to the basic functions such as identification and monitoring, the project party has specially added a real-time alarm function to the AI ​​monitoring in this application, which can perform AI intelligent analysis on the detection content and provide real-time alarm prompts to management personnel or law enforcement personnel.

[0073] (4) Analysis of ways to reduce costs and increase efficiency

[0074] After the project party optimized the software and hardware, the current AI system can automatically identify events of concern, support multi-channel 7*24 hours stable operation, actively push violation events, support the reuse of front-end equipment, and support the access of multiple types of equipment, which is conducive to improving efficiency and reducing costs.

[0075] The comprehensive visualization platform includes functions such as home page, system settings, device binding, fence module, map module, alarm information management, patrol trajectory statistical analysis, etc.

[0076] In some embodiments, when the data collection end is an electronic bracelet, the wearer's health data is monitored in real time based on various detection sensors built into the electronic bracelet, so as to understand the wearer's physical condition in a timely manner.

[0077] In some embodiments, when the data acquisition terminal detects human danger or reaches the alarm threshold set by the system, the data acquisition terminal transmits the data to the comprehensive visualization platform for voice pop-up linkage alarm, making it convenient for monitoring personnel to view the alarm details in time.

[0078] In some embodiments, when the data collection end uses Bluetooth AOA technology to view the real-time location of employees in the factory and divide the electronic fence, it also includes:

[0079] A Bluetooth beacon is equipped on a data collection terminal of personnel or materials in a factory, and is used to set a power to periodically transmit a broadcast packet including device information, location number, and signal strength data.

[0080] In some embodiments, it also includes:

[0081] A positioning tag is arranged in the factory and is used to scan the data collection terminal and transmit the acquired data to the positioning base station through a wireless gateway;

[0082] A positioning base station, which is arranged in the factory and is used to collect information from the data collection end transmitted by the positioning tag;

[0083] The positioning server is used to obtain information from the data collection end of the positioning base station mobile phone through a wireless or wired network.

[0084] Specifically, the positioning tag scans the data collection end, and then transmits it to the positioning base station through the wireless gateway. The deployed positioning base station collects the information of the data collection end, and then transmits it to the positioning server through a wireless or wired network for data collation and analysis.

[0085] Specifically, Bluetooth AOA positioning technology is a high-precision indoor positioning method, which mainly determines the location of the signal source by measuring the signal arrival angle and arrival time. In the actual application of this application, multi-base station positioning is adopted. By building a large-scale positioning base station network and combining the heading angle information of multiple base stations for joint solution, the technology of this application can cover a wider area and achieve high-precision positioning. Take two base stations as an example. The coordinates of the base stations are known, namely BS1 (x1, y1) and BS2 (x2, y2), and the coordinates of the mobile tag are MS (x, y). By using an antenna array, the angles α1 and α2 of the signals emitted from base stations BS1 and BS2 to the mobile tag MS can be measured, such as Figure 2 As shown. By solving the following set of equations, the mobile tag coordinates MS(x,y) can be obtained:

[0086]

[0087] The application of this technology has brought important breakthroughs in the field of indoor positioning and improved the accuracy and reliability of positioning.

[0088] This application can use Bluetooth beacons equipped with AOA firmware to achieve positioning. Bluetooth Beacon is a small wireless device that uses Bluetooth Low Energy (BLE) technology. Its working principle is to send broadcast signals at certain time intervals (usually between tens of milliseconds and a few seconds). These signals contain specific data, such as the beacon's unique identifier (UUID-Universally Unique Identifier), major value (Major) and minor value (Minor) and other information. Nearby Bluetooth-enabled devices (such as smartphones and tablets) can receive these broadcast signals. When the device enters the signal coverage range of the Bluetooth beacon, it can read the data sent by the beacon and perform corresponding operations according to pre-set rules. Taking the iBeacon protocol as an example, the Bluetooth beacon periodically transmits broadcast packets containing device information, location number, signal strength and other data at a set power, which are scanned and obtained by scanning devices within its communication coverage. The scanning devices are generally personnel or material positioning tags. The tags are then sent to the wireless gateway through long-distance wireless communication methods such as LoRa, and then forwarded to the positioning server by the wireless gateway through network cables, light, 5G and other methods. The positioning server solution engine integrates the location numbers, signal strength and other information of multiple Bluetooth beacons uploaded by the tags, combined with the spatial coordinates recorded when the Bluetooth beacons were deployed, and the location of the positioning tag can be solved. The solution results are sent to the positioning display platform for display or provided to other location-based services after algorithm filtering and optimization. Its advantages are low power consumption, and it can work continuously for one year on button batteries; low cost, the cost of base stations based on CSR chips is low, and the cost of bulk purchases will also decrease; easy to set up and high positioning accuracy.

[0089] In view of the actual operation status of the factory and the characteristics of the Bluetooth AOA high-precision wireless positioning system, this application systematically plans the deployment strategy of the positioning base station. Figure 3 As shown in the figure, the front area has densely packed equipment and is large in size, which may cause significant interference to the signal. In contrast, the back area has sparsely distributed equipment, an open material stacking area, and a low material stacking height, which reduces potential interference to the signal. In addition, considering that there is a steel structure beam at a height of 9m in the factory building, in order to avoid signal obstruction or interference, the positioning base station is deployed at a position higher than this structure to ensure comprehensive signal coverage and stability of system operation.

[0090] In summary, Bluetooth AOA is used for high-precision indoor positioning, which is convenient for personnel management, asset management, logistics warehousing, etc. to help enterprises upgrade to intelligence.

[0091] In some embodiments, when the data collection end uses UWB technology to view the real-time location of employees in the factory and divide the electronic fence, it also includes: a perception layer, a network layer, a platform layer, and an application layer, wherein:

[0092] The perception layer includes UWB positioning tags and UWB positioning base stations. The UWB positioning tags are equipped on personnel and equipment in the factory and are used to transmit ultra-wideband signals. The UWB positioning base stations are arranged in the factory and are used to receive signals transmitted by the positioning tags and transmit the signals to the network layer.

[0093] The platform layer includes a positioning engine and a database. The positioning engine processes and analyzes the data collected by the UWB positioning base station and calculates the location information of personnel and equipment using the UWB positioning algorithm. The database is used to store the location information, trajectory data, and warning information of personnel and equipment.

[0094] The application layer includes a real-time positioning module and a trajectory tracking module. The real-time positioning module is used to display the location information of personnel and equipment in real time on the large screen of the comprehensive visualization platform. The trajectory tracking module is used to track and analyze the movement trajectory of personnel and equipment to provide data support for security management.

[0095] In some embodiments, the network layer includes a wired network and a wireless network, and the wired network or the wireless network is used to transmit the data collected by the UWB positioning base station to the AI ​​algorithm server.

[0096] Specifically, a signal with a relative bandwidth of more than 20% or an absolute bandwidth of more than 500MHz is called an ultra-wideband signal. There are two main types of UWB signals, namely impulse radio (IR-UWB) and multi-band scheme (MB-OFDM). Currently, the first type is the most widely used. Impulse radio uses impulse pulses (less than 1ns) as carriers and modulates useful information into them to achieve broadband transmission of data.

[0097] The overall system architecture of intelligent transformation of factory safety supervision using UWB positioning technology is as follows:

[0098] (1) Perception Layer

[0099] UWB positioning tags: Equip personnel and equipment within the factory with UWB positioning tags that transmit ultra-wideband signals.

[0100] UWB positioning base station: UWB positioning base stations are reasonably arranged in the factory to receive signals emitted by positioning tags and transmit the signals to the network layer.

[0101] (2) Network layer

[0102] Wired network: Use the existing wired network in the factory to transmit the data collected by the UWB positioning base station to the AI ​​algorithm server.

[0103] Wireless network: In some areas where wired networks cannot be deployed, wireless networks are used for data transmission.

[0104] (3) Platform layer

[0105] Positioning engine: Process and analyze the data collected by the UWB positioning base station, and use the UWB positioning algorithm to calculate the location information of people and equipment.

[0106] Database: stores location information, trajectory data, warning information, etc. of personnel and equipment.

[0107] Application server (AI algorithm server): provides various application services, such as real-time positioning, trajectory tracking, dangerous area warning, emergency rescue, etc.

[0108] (4) Application layer

[0109] Real-time positioning module: Displays the location information of personnel and equipment in real time on the large screen of the integrated visualization platform.

[0110] Trajectory tracking module: tracks and analyzes the movement trajectories of personnel and equipment to provide data support for safety management.

[0111] Dangerous area warning module: real-time monitoring of dangerous areas, when personnel or equipment enter the dangerous area, send out warning information.

[0112] Emergency rescue module: After an accident occurs, quickly locate trapped personnel and equipment to provide support for rescue work.

[0113] In some embodiments, the UWB positioning algorithm includes Fang algorithm or Chan algorithm or Taylor series expansion method.

[0114] Specifically,

[0115] Fang Algorithm:

[0116] Fang algorithm is mainly used to solve hyperbolic equations. It cannot increase positioning accuracy by using redundant values. Therefore, it can only consider locating the location to be measured in two-dimensional space through three UWB positioning base stations. Assume that the coordinates of the three base stations are (a1, b1), (a2, b2), (a3, b3), and the coordinates of the location to be measured are (a, b).

[0117] From the distance formula between two points, we can get the formula:

[0118]

[0119] Where i = 1, 2, 3;

[0120] Substituting both sides of the formula quadratically yields:

[0121] Two solutions about a can be obtained, and then the effective value of a is substituted into the formula according to the actual situation, so as to obtain the estimated coordinates of the site to be measured;

[0122] Chan's algorithm:

[0123] The Chan algorithm can also use redundant ranging values ​​to improve the accuracy of positioning to a certain extent. Its characteristic is that when the measurement error follows the ideal Gaussian distribution, it has greater position accuracy, but less calculation, so the number of base stations can be increased to improve the characteristics of the algorithm. However, in actual applications, since the system will be affected by the deviation of non-line-of-sight transmission signals, if there is no way to ensure that the ranging deviations all follow the Gaussian distribution, the performance of the algorithm will be greatly reduced. Therefore, in two dimensions, the Chan algorithm can be divided into two cases: less than three reference base stations and more than three reference base stations;

[0124] Taylor series expansion method:

[0125] The Fang algorithm and Chan algorithm using analytical expressions will significantly reduce their positioning accuracy when considering external factors such as multipath effects and no-line-of-sight propagation, so a recursive algorithm can be used to suppress the errors caused by these external factors. The Taylor calculation method uses the weighted least squares method for the Taylor series. This calculation is to expand the Taylor series of the obtained nonlinear equations from the initial value and then iterate to solve it.

[0126] This application uses a variety of positioning technologies as the basis, and combines positioning technology with today's mainstream AI artificial intelligence technology to achieve unified and standardized management of factory personnel, equipment, vehicles, etc.;

[0127] This application conducts systematic research and planning around the integration of factory safety supervision and intelligent means, aiming to improve the quality and efficiency of factory safety supervision, with the following advantages:

[0128] (1) Make full use of the current mainstream Internet of Things technology, AI technology, positioning technology, etc. to plan and formulate a modular management plan to realize the real-time location and historical trajectory viewing of personnel, personnel behavior detection, etc., to further improve the quality of production safety;

[0129] (2) Add AI intelligent real-time analysis technology to the terminal intelligent integrated management system to realize intelligent integrated management of on-site personnel, equipment, vehicles, etc. Through this system and hardware terminals, the main functions of real-time positioning and tracking of on-site personnel and vehicles, action trajectory playback, and electronic fences are realized; at the same time, the interface with other information systems is retained to facilitate expansion and optimization, gradually realize the functions of the intelligent safety integrated management platform, and effectively improve the efficiency of terminal safety production management;

[0130] (3) By analyzing different application scenarios in the production and processing industry, various safety-related data are systematically and centrally managed;

[0131] (4) Intelligent patrol can be derived through the use of positioning technology and Internet of Things technology;

[0132] (5) The AI ​​intelligent monitoring part can enable the continued use of existing old equipment;

[0133] (6) Monitor whether the environment meets production and alarm requirements, provide occupational disease hazard prevention data for each site, and provide guarantees for orderly production;

[0134] (7) Make the intelligent and digitalized intelligent station system intelligent, and reduce the investment in human defense through technical defense; further improve the functions and performance through the newly built application system, and add the construction of vehicle guidance module and AI video assisted inspection module to further improve the on-site safety production standards and operation efficiency.

[0135] This application uses UWB or Bluetooth AOA positioning technology to make up for the shortcomings of GPS positioning; UWB indoor positioning technology is a carrier-free communication technology that uses non-sinusoidal or narrow pulse signals ranging from nanoseconds to several microseconds to transmit data. Its modulation uses fast rising and falling pulses, the pulse length is generally in the nanosecond range, and the pulse spans all frequencies from DC to GHz, so there is no need for RF frequency conversion required by traditional narrowband modulation systems. At the same time, since the pulse can also be generated and sent directly to the dual-polarized antenna for transmission, the spectrum can also be generated in a narrower stable single pulse form and adjusted according to the load characteristics of the dual-polarized antenna.

[0136] UWB technology has a wider frequency band, lower power density and higher time resolution, which give UWB indoor positioning technology many advantages, including lower system complexity, lower power spectrum density of transmitted signals, insensitivity to channel fading, lower interception capability, and high time and space resolution. It has high positioning accuracy, which can reach the centimeter level, strong penetration ability, strong stability, high anti-interference ability, long propagation distance, low radiation and low power consumption. Therefore, UWB technology is particularly suitable for scenarios that require positioning in dense multipath environments such as indoors.

[0137] Bluetooth-based AOA positioning technology is a high-precision indoor positioning method that mainly determines the location of the signal source by measuring the signal arrival angle and arrival time. By using an antenna array, this technology can accurately measure the angle at which the Bluetooth signal emitted from the base station reaches the mobile tag, thereby achieving positioning. In practical applications, by building a large-scale positioning base station network and combining the heading angle information of multiple base stations for joint solution, Bluetooth-based AOA positioning technology can cover a wider area and achieve full coverage of high-precision positioning.

[0138] Technical principle Figure 2 As shown in the figure, according to the altitude angle β and the angle of the received signal 0, the position of the mobile terminal is solved by using the principle of trigonometric geometry with an accuracy of centimeters. The coverage range of the Bluetooth base station is 2-3 times the height of the base station, and the base station is set at a height of 2m-25m. This technology has high security, strong availability, low cost, low power consumption, small device size, relatively short distance, and is easy to integrate into mobile devices such as mobile phones, which can achieve effective point-to-point communication effects.

[0139] To sum up, this application uses positioning technology, AI artificial intelligence technology and supporting hardware and software to achieve all-round personnel management, equipment management, forklift management, etc. in the factory; and finally integrates them into a practical intelligent patrol system.

[0140] The present application may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present application.

[0141] Computer readable storage medium can be a tangible device that can hold and store instructions used by an instruction execution device. Computer readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (non-exhaustive list) of computer readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, for example, a punch card or a convex structure in a groove on which instructions are stored, and any suitable combination thereof. The computer readable storage medium used here is not interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagated by a waveguide or other transmission medium (for example, a light pulse by an optical fiber cable), or an electrical signal transmitted by a wire.

[0142] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0143] The computer program instructions for performing the operation of the present application can be assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions can be executed completely on a user's computer, partially on a user's computer, executed as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet). In some embodiments, by using the state information of a computer-readable program instruction to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA) or a programmable logic array (PLA), the electronic circuit can execute a computer-readable program instruction, thereby realizing various aspects of the present application.

[0144] Various aspects of the present application are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0145] These computer-readable program instructions can be provided to a processing unit of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processing unit of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0146] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0147] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the logical function of the specification. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can also be executed in the opposite order sometimes, depending on the function involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be realized by a dedicated hardware-based system that performs the function or action of the specification, or can be realized by a combination of special-purpose hardware and computer instructions.

[0148] Note that, unless otherwise directly stated, all features disclosed in this specification (including any attached claims, abstracts and drawings) may be replaced by alternative features for achieving the same, equivalent or similar purposes. Therefore, unless otherwise explicitly stated, each feature disclosed is only an example of a group of equivalent or similar features. Where used, further, preferably, further and more preferably are simple beginnings for elaborating another embodiment based on the aforementioned embodiment, and the content of the further, preferably, further or more preferably followed by the combination with the aforementioned embodiment constitutes a complete construction of another embodiment. Several further, preferably, further or more preferably settings following the same embodiment can be arbitrarily combined to form another embodiment.

[0149] Although the present application has been described in detail above with general descriptions and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements may be made to the present application. Therefore, these modifications or improvements made without departing from the spirit of the present application all fall within the scope of protection claimed in the present application.

Claims

1. An intelligent patrol system, characterized in that: include: Data collection terminal, which uses GPS, Bluetooth AOA or UWB technology to view the real-time location of employees in the factory and divide electronic fences; An AI algorithm server, which is used to receive data collected by the data collection terminal, and transmit the visualization data to the integrated visualization platform after analyzing and processing; The comprehensive visualization platform includes functions such as home page, system settings, device binding, fence module, map module, alarm information management, patrol trajectory statistical analysis, etc.

2. The intelligent patrol system according to claim 1, characterized in that: The data collection terminal includes: an electronic bracelet, a smart badge, and a surveillance camera; When the data collection end is an electronic bracelet, the wearer's health data can be monitored in real time based on various detection sensors built into the electronic bracelet.

3. The intelligent patrol system according to claim 1, characterized in that: When the data collection terminal detects human danger or reaches the alarm threshold set by the system, the data collection terminal transmits the data to the comprehensive visualization platform for voice pop-up linkage alarm.

4. The intelligent patrol system according to claim 1, characterized in that: When the data collection terminal uses Bluetooth AOA technology to view the real-time location of employees in the factory and divide the electronic fence, it also includes: A Bluetooth beacon is equipped on a data collection terminal of personnel or materials in a factory, and is used to set a power to periodically transmit a broadcast packet including device information, location number, and signal strength data.

5. The intelligent patrol system according to claim 4, characterized in that: Also includes: A positioning tag is arranged in the factory and is used to scan the data collection terminal and transmit the acquired data to the positioning base station through a wireless gateway; A positioning base station, which is arranged in the factory and is used to collect information from the data collection end transmitted by the positioning tag; The positioning server is used to obtain information from the data collection end of the positioning base station mobile phone through a wireless or wired network.

6. The intelligent patrol system according to claim 1, characterized in that: When the data collection end uses UWB technology to view the real-time location of employees in the factory and divide the electronic fence, it also includes: a perception layer, a network layer, a platform layer, and an application layer, wherein: The perception layer includes UWB positioning tags and UWB positioning base stations. The UWB positioning tags are equipped on personnel and equipment in the factory and are used to transmit ultra-wideband signals. The UWB positioning base stations are arranged in the factory and are used to receive signals transmitted by the positioning tags and transmit the signals to the network layer. The platform layer includes a positioning engine and a database. The positioning engine processes and analyzes the data collected by the UWB positioning base station and calculates the location information of personnel and equipment using the UWB positioning algorithm. The database is used to store the location information, trajectory data, and warning information of personnel and equipment. The application layer includes a real-time positioning module and a trajectory tracking module. The real-time positioning module is used to display the location information of personnel and equipment in real time on the large screen of the comprehensive visualization platform. The trajectory tracking module is used to track and analyze the movement trajectory of personnel and equipment to provide data support for security management.

7. The intelligent patrol system according to claim 6, characterized in that: The network layer includes a wired network and a wireless network, and the wired network or the wireless network is used to transmit the data collected by the UWB positioning base station to the AI ​​algorithm server.

8. The intelligent patrol system according to claim 7, characterized in that: The UWB positioning algorithm includes Fang algorithm or Chan algorithm or Taylor series expansion method.

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