CN209855414U - Laboratory intelligent security management system - Google Patents
Laboratory intelligent security management system Download PDFInfo
- Publication number
- CN209855414U CN209855414U CN201920383043.0U CN201920383043U CN209855414U CN 209855414 U CN209855414 U CN 209855414U CN 201920383043 U CN201920383043 U CN 201920383043U CN 209855414 U CN209855414 U CN 209855414U
- Authority
- CN
- China
- Prior art keywords
- module
- pin
- resistor
- laboratory
- management system
- 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.)
- Expired - Fee Related
Links
Landscapes
- Lock And Its Accessories (AREA)
Abstract
The utility model discloses a laboratory intelligent security management system, including processing module, face identification module, PKE keyless system module, unlocking module, response module and environmental data collection module, processing module connects face identification module, PKE keyless system module, unlocking module, response module and environmental data collection module. The utility model adopts the mode of combining the face recognition system and the PKE keyless system, so that the problem that the face recognition system cannot correctly recognize biological information when the mask needs to be worn in a special laboratory can be solved, and the working efficiency is effectively improved; in addition, the sensing module is arranged to sense the door opening force and angle and match the door opening force and angle with the database, so that the system can give an alarm in advance when the data are not matched; furthermore, the utility model discloses still gather the environmental data in laboratory through setting up environmental data collection module, can send alarm signal to inform the experimenter when laboratory environmental data appears unusually.
Description
Technical Field
The utility model relates to a laboratory is with electric safety and discrepancy safety control technical field, in particular to laboratory intelligent security management system.
Background
At present, the intelligent safety system sold in the market adopts card swiping and passwords, has single functions and the problem of easy cracking, can not accurately distinguish the identity of a user by adopting a fingerprint safety management system, has the problem of being stolen by people, can not guarantee the property safety of a practical training room, and can not realize the advanced early warning function based on big data for some power utilization hidden dangers and experimental environment safety. At present, no intelligent laboratory safety management system suitable for multiple situations exists.
Thus, the prior art has yet to be improved and enhanced.
SUMMERY OF THE UTILITY MODEL
In view of the weak point of above-mentioned prior art, the utility model aims to provide a laboratory intelligent security management system, differentiation people's identity that can be accurate to can report an emergency and ask for the laboratory personnel when laboratory environment data appears unusually.
In order to achieve the purpose, the utility model adopts the following technical proposal:
an intelligent laboratory safety management system comprises a processing module, a face recognition module, a PKE keyless system module, an unlocking module, an induction module and an environmental data acquisition module, wherein the processing module receives face recognition data acquired by the face recognition module, processes and judges the face recognition data, controls the unlocking module to unlock when the judgment data is in accordance with the face recognition data, and simultaneously judges whether the PKE keyless system module detects a PKE electronic key or not and controls the unlocking module to unlock when the PKE keyless system module detects the PKE electronic key; the sensing module senses the rotating speed and the angle of the opened door of the user after unlocking and sends the rotating speed and the angle to the processing module, and the processing module calculates the force and the angle of the opened door; the processing module also receives and analyzes the laboratory environment data collected by the environment data collecting module, and sends out an alarm signal when the laboratory environment data is abnormal.
In the laboratory intelligent safety management system, the processing module comprises a main control chip, and the main control chip adopts an ST32 series single-chip microcomputer.
In the laboratory intelligent safety management system, the unlocking module comprises a motor driving chip, a first optical coupler, a second optical coupler, a first resistor, a second resistor, a third resistor, a fourth resistor and a fifth resistor, the GND1 end of the motor driving chip and one end of the second resistor are grounded, the B end of the motor driving chip is connected with the other end of the second resistor and the 2 nd pin of the first optical coupler, the A end of the motor driving chip is connected with the 2 nd pin of the second optical coupler and one end of the third resistor, the GND2 end of the motor driving chip and the other end of the third resistor are grounded, the 1 st pin of the first optical coupler and the 1 st pin of the second optical coupler are both connected with a 5V power supply through the first resistor, the 3 rd pin of the first optical coupler is connected with one end of the fourth resistor, the 4 th pin of the first optical coupler is connected with the PC0 pin of the main control chip, the 3 rd pin of the second optical coupler is connected with one end of the fifth resistor, the 4 th foot of second opto-coupler connects the PC1 foot of main control chip, the other end of fourth resistance and the other end of fifth resistance all connect the 3.3V power.
The intelligent safety management system for the laboratory is characterized in that the induction module comprises a triaxial gyroscope unit used for inducing the door opening angle and a Hall switch unit used for inducing the door opening rotating speed, the triaxial gyroscope unit and the Hall switch unit are installed behind a door, and the triaxial gyroscope unit and the Hall switch unit are connected with the processing module.
In the intelligent safety management system for the laboratory, the three-axis gyroscope unit comprises a three-axis magnetic field sensor, a three-axis gyroscope, a sixth resistor, a seventh resistor, a first capacitor and a second capacitor, the DRDY end of the triaxial magnetic field sensor is connected with the PC2 pin of the main control chip, the SCL end of the triaxial magnetic field sensor is connected with the AUX _ CL end of the triaxial gyroscope, the SDA end of the three-axis magnetic field sensor is connected with the AUX _ DA end of the three-axis gyroscope, the INT end of the triaxial gyroscope is connected with the PC3 pin of the main control chip, the VDD end of the triaxial gyroscope is connected with one end of the first capacitor, one end of the second capacitor and the 3.3V power supply, the other end of the first capacitor and the other end of the second capacitor are both grounded, the SCL end of the triaxial gyroscope is connected with a 3.3V power supply through a sixth resistor, and the SDA end of the triaxial gyroscope is connected with the 3.3V power supply through a seventh resistor.
The laboratory intelligent safety management system, among the hall switch unit includes hall sensor, first rheostat, first operational amplifier and third electric capacity, VCC power is connected to hall sensor's 1 st foot, hall sensor's 2 nd foot ground connection, hall sensor's 3 rd foot is connected first operational amplifier's non inverting input end, first rheostat's control end is connected to first operational amplifier's inverting input end, VCC power is connected to first rheostat's one end, first rheostat's other end ground connection, the one end of third electric capacity and the PC4 foot of main control chip are connected to first operational amplifier's output.
In the laboratory intelligent safety management system, the environmental data acquisition module comprises a plurality of data acquisition units, each data acquisition unit is connected with the processing module, each data acquisition unit comprises a data acquisition sensor, an eighth resistor, a ninth resistor, a second rheostat, a second operational amplifier and a fourth capacitor, the 1 st pin, the 2 nd pin and the 3 rd pin of the data acquisition sensor are all connected with a VCC power supply, the 5 th pin of the data acquisition sensor is grounded through the eighth resistor, the 4 th pin and the 6 th pin of the data acquisition sensor are all connected with one end of the ninth resistor, the inverting input end of the second operational amplifier and the PC5 pin of the main control chip, the other end of the ninth resistor is grounded, the non-inverting input end of the second operational amplifier is connected with the control end of the second rheostat, one end of the second rheostat is connected with the VCC power supply, the other end of the second rheostat is grounded, the output end of the second operational amplifier is connected with one end of a fourth capacitor and a PC6 pin of the main control chip, and the other end of the fourth capacitor is grounded.
In the laboratory intelligent safety management system, the model of the motor driving chip is L9110S.
In the laboratory intelligent safety management system, the model of the three-axis magnetic field sensor is HMC5883, and the model of the three-axis gyroscope is MPU 6050.
In the laboratory intelligent safety management system, the model of the Hall sensor is A3144E.
Compared with the prior art, the intelligent safety management system for the laboratory can solve the problem that the face recognition system cannot correctly recognize biological information when entering a special laboratory and needing to wear a mask by adopting a mode of combining the face recognition and the PKE keyless system, is convenient for laboratory personnel to rapidly enter and exit, and effectively improves the working efficiency; in addition, the sensing module is arranged to sense the angular speed and the angle when the door is opened, so that the force and the angle for opening the door are matched with the data of the artificial intelligent database, the system can give an alarm in advance when the data are not matched, and irrelevant personnel are effectively prevented from entering a laboratory; furthermore, the utility model discloses still gather the environmental data in laboratory through setting up environmental data collection module, can send alarm signal to inform the experimenter when laboratory environmental data (for example harmful gas, temperature, voltage, electric current etc.) appears unusually, effectively avoid the laboratory casualties.
Drawings
Fig. 1 is the utility model provides a laboratory intelligent security management system's functional block diagram.
Fig. 2 is the utility model provides an among the laboratory intelligent security management system, processing module's schematic diagram.
Fig. 3 is the utility model provides an among the laboratory intelligent security management system, the schematic diagram of unlocking module.
Fig. 4 is the utility model provides an among the laboratory intelligent security management system, the schematic diagram of triaxial gyroscope unit.
Fig. 5 is the utility model provides an among the laboratory intelligent security management system, hall switch unit's schematic diagram.
Fig. 6 is the utility model provides an among the laboratory intelligent security management system, data acquisition unit's schematic diagram.
Detailed Description
The utility model provides a laboratory intelligent security management system, for making the utility model discloses a purpose, technical scheme and effect are clearer, clear and definite, and it is right that the following refers to the drawing and the embodiment of lifting is the utility model discloses further detailed description. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the invention.
Referring to fig. 1, the utility model provides a laboratory intelligent security management system, including processing module 1, face identification module 2, PKE keyless system module 3, unlocking module 4, response module 5 and environmental data collection module 6, processing module 1 connects face identification module 2, PKE keyless system module 3, unlocking module 4, response module 5 and environmental data collection module 6.
Specifically, the processing module 1 is a control hub of the whole system and is used for receiving and processing signals fed back by the face recognition module 2, the PKE keyless system module 3, the sensing module 5 and the environmental data acquisition module 6, and in addition, the processing module 1 controls the unlocking module 4 to perform corresponding actions according to the signals fed back by the face recognition module 2 and/or the PKE keyless system module 3; the face recognition module 2 is used for carrying out face recognition during unlocking, sending face recognition data to the processing module 1, and judging whether the recognition is successful or not after algorithm analysis is carried out by the processing module 1; the PKE keyless system module 3 is used for detecting a PEK electronic key, sending an unlocking request signal to the processing module 1 when the PEK electronic key is detected, and controlling the unlocking module 4 to unlock by the processing module 1; the unlocking module 4 is used for unlocking and unlocking the electronic lock after receiving an unlocking signal sent by the processing module 1; the sensing module 5 is used for sensing the rotating speed and the angle of the opened door of the user after unlocking and sending the rotating speed and the angle to the processing module 1, and the processing module 1 calculates the force and the angle of the opened door; the environmental data acquisition module 6 is used for acquiring laboratory environmental data signals and sending the acquired signals to the processing module 1.
In other words, when the lock needs to be unlocked, the processing module 1 receives the face identification data acquired by the face identification module 2, processes and judges the face identification data, and controls the unlocking module 4 to unlock the lock when the judgment data are in accordance with each other, and meanwhile, the processing module 1 also judges whether the PKE keyless system module 3 detects a PKE electronic key, and controls the unlocking module to unlock the lock when the PKE keyless system module 3 detects the PKE electronic key; the sensing module 5 senses the rotating speed and the angle of the opened door of the user after unlocking and sends the rotating speed and the angle to the processing module 1, and the processing module 1 calculates the force and the angle of the opened door; the processing module 1 also receives and analyzes the laboratory environment data acquired by the environment data acquisition module 6, and sends out an alarm signal when the laboratory environment data is abnormal.
The utility model adopts the mode of combining the face recognition system and the PKE keyless system, so that the problem that the face recognition system cannot correctly recognize biological information when the mask needs to be worn in a special laboratory can be solved, the rapid in-and-out of laboratory personnel is facilitated, and the working efficiency is effectively improved; in addition, the sensing module is arranged to sense the angular speed and the angle when the door is opened, so that the force and the angle for opening the door are matched with the data of the artificial intelligent database, the system can give an alarm in advance when the data are not matched, and irrelevant personnel are effectively prevented from entering a laboratory; furthermore, the utility model discloses still gather the environmental data in laboratory through setting up environmental data collection module, can send alarm signal to inform the experimenter when laboratory environmental data (for example harmful gas, temperature, voltage, electric current etc.) appears unusually, effectively avoid the laboratory casualties.
Further, referring to fig. 1 and fig. 2 together, the processing module 1 includes a main control chip U1, the main control chip U1 employs an ST32 series single chip microcomputer, preferably, in this embodiment, the main control chip U1 employs a 32-Bit controller STM32F103VCT6, the main control chip operates at 72MHz main frequency, 1.25DMIPS/MHz, has 256KB Flash, 64KBSRAM, and operates at 3.3V voltage, and has up to 80 GPIOs, 11 Timers timer units, an operating frequency CAN reach 72MHz, 3 × 12Bit (1us) digital-to-analog converter unit, and 12-channel DMA, supports JTAG/SWD debugging, has functional interfaces such as CAN and USART communication, and has the advantages of convenient programming and debugging, low power consumption, strong processing capability, and many peripheral modules, and is suitable for the full-isolation type dc motor driver board. The main control chip U1 adopts 2mm interval seat to link to each other with the bottom plate as the roof, but has plug, the advantage of convenient replacement, of course, in other embodiments, main control chip U1 still can adopt other and can realize the utility model discloses the chip of function, the utility model discloses do not injectd this, in addition, need explain, processing module 1 still includes a series of chip peripheral circuit, for example crystal oscillator circuit, SWD download debugging interface circuit, status indication LED circuit, 2mm interval interface seat circuit etc. it is prior art, no longer explains it in detail here.
Further, face identification module 2 includes the face snapshot rifle, POE switch and people's face database, face data is discerned after the face is snapshot to the face to the people's face snapshot rifle, and transmit people's face data to network server through the POE switch, processing module 1 (specifically through main control chip U1) also is connected to network server through the net twine, and request once server every 100ms, read facial discernment data and carry out algorithm analysis, judge whether face discernment data meets the requirements, if meet the requirements then control unlocking module 3 and unblank, otherwise do not unblank, reach the purpose that face discernment unblanked, wherein, the specific circuit principle of face identification module 2 has been prior art, no longer describe it in detail here.
Further, the PKE keyless system module 3 is a system that can realize automatic unlocking without a key, and when a worker reaches a designated range, the system can directly identify and judge whether the worker is a legal authorizer, and if the worker reaches the designated range, the system directly sends an unlocking request signal to the processing module 1, and the processing module 1 controls the unlocking module 4 to unlock the lock.
Referring to fig. 1 to 3 together, the unlocking module 4 includes a motor driving chip U2, a first optical coupler U3, a second optical coupler U4, a first resistor R1, a second resistor R2, a third resistor R3, a fourth resistor R4 and a fifth resistor R5, a GND1 end of the motor driving chip U2 and one end of the second resistor R2 are grounded, a B end of the motor driving chip U2 is connected to the other end of the second resistor R2 and a 2 nd pin of the first optical coupler U3, an a end of the motor driving chip U2 is connected to a 2 nd pin of the second optical coupler U3 and one end of the third resistor R3, a GND2 end of the motor driving chip U2 and the other end of the third resistor R2 are grounded, a 1 st pin of the first optical coupler U2 and a 1 st pin of the second optical coupler U2 are connected to a power supply of a first resistor R365V, a GND2 end of the first optical coupler U2 is connected to a first optical coupler U2 and a fourth optical coupler U2 is connected to a master resistor R2 of the first optical coupler U2, the 3 rd pin of the second optical coupler U4 is connected with one end of a fifth resistor R5, the 4 th pin of the second optical coupler U4 is connected with a PC1 pin of a main control chip U1, the other end of the fourth resistor R4 and the other end of the fifth resistor R5 are both connected with a 3.3V power supply, the OA end of the motor driving chip U2 is connected with one end of a motor, and the OB end of the motor driving chip U2 is connected with the other end of the motor.
Specifically, the unlocking module 4 is configured to control the motor to rotate forward and backward according to a signal sent by the main control chip U1, so as to achieve the purposes of automatic unlocking and automatic door locking, when an unlocking signal is sent to the first optical coupler U3 by a PC0 pin of the main control chip U1, the first optical coupler U3 is turned on after receiving the signal and sends the signal to the motor driving chip U2, and the motor driving chip U2 controls the motor to rotate forward to unlock; when the PC1 foot of master control chip U1 sends and closes the lock signal extremely when the second opto-coupler U4, switch on after the signal is received to second opto-coupler U4, and with signal transmission to motor drive chip U2, motor drive chip U2 control the motor reversal is closed and is locked, when concrete implementation, motor drive chip U2's model is L9110S, and the stable performance, the processing speed is fast, certainly, in other embodiments, motor drive chip U2 still can adopt the chip of other models, the utility model discloses do not limit to this.
Further, please refer to fig. 1, the sensing module 5 includes a three-axis gyroscope unit 51 and a hall switch unit 52, the three-axis gyroscope unit 51 is used for sensing a door opening angle, the hall switch unit 52 is used for sensing a door opening rotation speed, the three-axis gyroscope unit 51 and the hall switch unit 52 are both installed behind a door, and the three-axis gyroscope unit 51 and the hall switch unit 52 are both connected to the processing module 1.
Specifically, referring to fig. 4, the three-axis gyroscope unit 51 includes a three-axis magnetic field sensor U5, a three-axis gyroscope U6, a sixth resistor R6, a seventh resistor R7, a first capacitor C1 and a second capacitor C2, the DRDY end of the three-axis magnetic field sensor U5 is connected with the PC2 pin of the main control chip U1, the SCL end of the three-axis magnetic field sensor U5 is connected with the AUX _ CL end of the three-axis gyroscope U6, the SDA end of the three-axis magnetic field sensor U5 is connected with the AUX _ DA end of the three-axis gyroscope U6, the INT end of the triaxial gyroscope U6 is connected with the PC3 pin of the main control chip U1, the VDD end of the triaxial gyroscope U6 is connected with one end of the first capacitor C1, one end of the second capacitor C2 and a 3.3V power supply, the other end of the first capacitor C1 and the other end of the second capacitor C2 are both grounded, the SCL end of the triaxial gyroscope U6 is connected with a 3.3V power supply through a sixth resistor R6, and the SDA end of the three-axis gyroscope U6 is connected with a 3.3V power supply through a seventh resistor 7.
Specifically, the three-axis magnetic field sensor U5 adopts a sensor with the model of HMC5883, the three-axis gyroscope U6 adopts MPU6050, the first resistor R1 and the second resistor R2 are pull-up resistors, the first capacitor C1 and the second capacitor C2 are decoupling capacitors, the three-axis magnetic field sensor U5 and the three-axis gyroscope U6 both send acquired signals to the main control chip U1, the main control chip U1 calculates the door opening force and angle by adopting an invansense motion engine library, fusion filtering is performed through a kalman algorithm, the fusion filtering is performed to be matched with habits such as door opening force, angle and speed in a database, no alarm is performed when data are matched, and the data are not matched, i.e., a practical training room manager needs to perform secondary confirmation, so that irrelevant personnel are prevented from entering and exiting a laboratory.
Further, referring to fig. 5, the hall switch unit 52 includes a hall sensor U7, a first rheostat R0, a first operational amplifier U8 and a third capacitor C3, a 1 st pin of the hall sensor U7 is connected to a VCC power supply, a 2 nd pin of the hall sensor U7 is grounded, a3 rd pin of the hall sensor U7 is connected to a non-inverting input terminal of the first operational amplifier U8, an inverting input terminal of the first operational amplifier U8 is connected to a control terminal of the first rheostat R0, one end of the first rheostat R0 is connected to the VCC power supply, the other end of the first rheostat R0 is grounded, and an output terminal of the first operational amplifier U8 is connected to one end of the third capacitor C3 and a PC4 pin of the main control chip U1.
Specifically, hall sensor U7 is used for gathering the rotational speed when opening the door, promptly the acceleration of opening the door to after gathering the signal and enlarging the processing through first operational amplifier, send to main control chip U1, main control chip U1 compares the rotational speed with the data in the database, then do not report to the police when data coincide, the data do not coincide promptly need real standard room administrator secondary to confirm, avoid irrelevant personnel to advance the laboratory, preferably, hall sensor U7's model is a3144E, the stable performance, the processing speed is fast, of course, in other embodiments, hall sensor U7 still can adopt the chip of other models, the utility model does not limit to this.
Referring to fig. 6, the environmental data collecting module 6 includes a plurality of data collecting units 61, each data collecting unit 61 is connected to the processing module 1 and collects laboratory data, such as combustible EX, oxygen, hydrogen sulfide, carbon monoxide, etc., in specific implementation, each data collecting unit 61 includes a data collecting sensor U9, an eighth resistor R8, a ninth resistor R9, a second rheostat R10, a second operational amplifier U10 and a fourth capacitor C4, the 1 st pin, the 2 nd pin and the 3 rd pin of the data collecting sensor U9 are all connected to a VCC power supply, the 5 th pin of the data collecting sensor U9 is connected to ground through the eighth resistor R8, the 4 th pin and the 6 th pin of the data collecting sensor U9 are all connected to one end of the ninth resistor R9, the inverting input end of the second operational amplifier U10 and the PC5 pin of the main control chip U1, the other end of the ninth resistor R9 is connected to ground, the non-inverting input end of the second operational amplifier U10 is connected to the control end of the second varistor R10, one end of the second varistor R10 is connected to the VCC power supply, the other end of the second varistor R10 is grounded, the output end of the second operational amplifier R10 is connected to one end of the fourth capacitor C4 and the PC6 pin of the main control chip U1, and the other end of the fourth capacitor C4 is grounded.
Specifically, the data acquisition sensors U9 are used for acquiring laboratory data, the data acquisition sensors U9 of each data acquisition unit 61 are different in type and are used for acquiring different laboratory data, such as combustible EX, oxygen, hydrogen sulfide, carbon monoxide, and the like, then the acquired data are sent to the main control chip U1, the main control chip U1 judges whether the data exceed standards, and when any data exceed the standards, an alarm signal is sent to prompt laboratory staff, for example, if the data such as indoor temperature and humidity have abnormal trends, a pre-alarm is triggered, and laboratory security staff is notified to check, and the laboratory can be continuously used after the data are confirmed to be correct, preferably, in the embodiment, the number of the data acquisition units 61 is 4, and the data acquisition units are respectively used for acquiring combustible EX, oxygen, hydrogen sulfide, and carbon monoxide data.
In summary, the intelligent safety management system for the laboratory provided by the utility model can solve the problem that the face recognition system cannot correctly recognize the biological information when entering a special laboratory and needing to wear a mask by adopting the mode of combining the face recognition and the PKE keyless system, thereby facilitating the rapid entrance and exit of laboratory personnel and effectively improving the working efficiency; in addition, the sensing module is arranged to sense the angular speed and the angle when the door is opened, so that the force and the angle for opening the door are matched with the data of the artificial intelligent database, the system can give an alarm in advance when the data are not matched, and irrelevant personnel are effectively prevented from entering a laboratory; furthermore, the utility model discloses still gather the environmental data in laboratory through setting up environmental data collection module, can send alarm signal to inform the experimenter when laboratory environmental data (for example harmful gas, temperature, voltage, electric current etc.) appears unusually, effectively avoid the laboratory casualties.
It should be understood that equivalent alterations and modifications can be made by those skilled in the art according to the technical solution of the present invention and the inventive concept thereof, and all such alterations and modifications should fall within the scope of the appended claims.
Claims (10)
1. An intelligent laboratory safety management system is characterized by comprising a processing module, a face recognition module, a PKE keyless system module, an unlocking module, an induction module and an environmental data acquisition module, wherein the processing module receives face recognition data acquired by the face recognition module, processes and judges the face recognition data, controls the unlocking module to unlock when the judgment data are in accordance with each other, and simultaneously judges whether the PKE keyless system module detects a PKE electronic key or not and controls the unlocking module to unlock when the PKE keyless system module detects the PKE electronic key; the sensing module senses the rotating speed and the angle of the opened door of the user after unlocking and sends the rotating speed and the angle to the processing module, and the processing module calculates the force and the angle of the opened door; the processing module also receives and analyzes the laboratory environment data collected by the environment data collecting module, and sends out an alarm signal when the laboratory environment data is abnormal.
2. The laboratory intelligent safety management system according to claim 1, wherein the processing module comprises a main control chip, and the main control chip adopts a single chip microcomputer of ST32 series.
3. The laboratory intelligent safety management system according to claim 2, wherein the unlocking module comprises a motor driving chip, a first optical coupler, a second optical coupler, a first resistor, a second resistor, a third resistor, a fourth resistor and a fifth resistor, the GND1 end of the motor driving chip and one end of the second resistor are grounded, the B end of the motor driving chip is connected with the other end of the second resistor and the 2 nd pin of the first optical coupler, the A end of the motor driving chip is connected with the 2 nd pin of the second optical coupler and one end of the third resistor, the GND2 end of the motor driving chip and the other end of the third resistor are grounded, the 1 st pin of the first optical coupler and the 1 st pin of the second optical coupler are both connected with a 5V power supply through the first resistor, the 3 rd pin of the first optical coupler is connected with one end of the fourth resistor, the 4 th pin of the first optical coupler is connected with the PC0 pin of the main control chip, the 3 rd pin of second opto-coupler connects the one end of fifth resistance, the 4 th pin of second opto-coupler connects main control chip's PC1 foot, the other end of fourth resistance and the other end of fifth resistance all connect the 3.3V power.
4. The laboratory intelligent safety management system of claim 3, wherein the sensing module comprises a triaxial gyroscope unit for sensing a door opening angle and a Hall switch unit for sensing a door opening rotation speed, the triaxial gyroscope unit and the Hall switch unit are both installed behind a door, and the triaxial gyroscope unit and the Hall switch unit are both connected with the processing module.
5. The laboratory intelligent security management system of claim 4, wherein the three-axis gyroscope unit comprises a three-axis magnetic field sensor, a three-axis gyroscope, a sixth resistor, a seventh resistor, a first capacitor, and a second capacitor, the DRDY end of the triaxial magnetic field sensor is connected with the PC2 pin of the main control chip, the SCL end of the triaxial magnetic field sensor is connected with the AUX _ CL end of the triaxial gyroscope, the SDA end of the three-axis magnetic field sensor is connected with the AUX _ DA end of the three-axis gyroscope, the INT end of the triaxial gyroscope is connected with the PC3 pin of the main control chip, the VDD end of the triaxial gyroscope is connected with one end of the first capacitor, one end of the second capacitor and the 3.3V power supply, the other end of the first capacitor and the other end of the second capacitor are both grounded, the SCL end of the triaxial gyroscope is connected with a 3.3V power supply through a sixth resistor, and the SDA end of the triaxial gyroscope is connected with the 3.3V power supply through a seventh resistor.
6. The laboratory intelligent safety management system according to claim 5, wherein the hall switch unit comprises a hall sensor, a first rheostat, a first operational amplifier and a third capacitor, wherein a 1 st pin of the hall sensor is connected with a VCC power supply, a 2 nd pin of the hall sensor is grounded, a3 rd pin of the hall sensor is connected with a non-inverting input terminal of the first operational amplifier, an inverting input terminal of the first operational amplifier is connected with a control terminal of the first rheostat, one end of the first rheostat is connected with the VCC power supply, the other end of the first rheostat is grounded, and an output terminal of the first operational amplifier is connected with one end of the third capacitor and a PC4 pin of the main control chip.
7. The laboratory intelligent safety management system according to claim 6, wherein the environmental data collection module comprises a plurality of data collection units, each data collection unit is connected to the processing module, each data collection unit comprises a data collection sensor, an eighth resistor, a ninth resistor, a second rheostat, a second operational amplifier and a fourth capacitor, the 1 st pin, the 2 nd pin and the 3 rd pin of the data collection sensor are all connected to a VCC power supply, the 5 th pin of the data collection sensor is grounded through the eighth resistor, the 4 th pin and the 6 th pin of the data collection sensor are all connected to one end of the ninth resistor, the inverting input end of the second operational amplifier and the PC5 pin of the main control chip, the other end of the ninth resistor is grounded, the non-inverting input end of the second operational amplifier is connected to the control end of the second rheostat, one end of the second rheostat is connected with a VCC power supply, the other end of the second rheostat is grounded, the output end of the second operational amplifier is connected with one end of the fourth capacitor and a PC6 pin of the main control chip, and the other end of the fourth capacitor is grounded.
8. The laboratory intelligent security management system of claim 7, wherein the model number of the motor driving chip is L9110S.
9. The laboratory intelligent safety management system of claim 8, wherein the model of the three-axis magnetic field sensor is HMC5883, and the model of the three-axis gyroscope is MPU 6050.
10. The laboratory intelligent security management system of claim 9, wherein the hall sensor is model a 3144E.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920383043.0U CN209855414U (en) | 2019-03-25 | 2019-03-25 | Laboratory intelligent security management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920383043.0U CN209855414U (en) | 2019-03-25 | 2019-03-25 | Laboratory intelligent security management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN209855414U true CN209855414U (en) | 2019-12-27 |
Family
ID=68934809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201920383043.0U Expired - Fee Related CN209855414U (en) | 2019-03-25 | 2019-03-25 | Laboratory intelligent security management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN209855414U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210355699A1 (en) * | 2020-05-18 | 2021-11-18 | FARAM TECH LAB s.r.l. | System for sanitizing and controlling people who want to access a room |
-
2019
- 2019-03-25 CN CN201920383043.0U patent/CN209855414U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210355699A1 (en) * | 2020-05-18 | 2021-11-18 | FARAM TECH LAB s.r.l. | System for sanitizing and controlling people who want to access a room |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN205879007U (en) | Intelligence pistol | |
| CN202280353U (en) | Intelligent safety box | |
| CN103714644B (en) | A kind of indoor security system and safety protection method thereof | |
| US11846477B2 (en) | Smart firearm safety device | |
| CN101196505A (en) | Passageway security checking terminal system and security checking method using the same | |
| CN106447861A (en) | Efficient and intelligent access control management system | |
| CN209168225U (en) | A kind of recognition of face gate inhibition all-in-one machine | |
| CN209855414U (en) | Laboratory intelligent security management system | |
| CN110276578A (en) | A kind of merchandise warehouse safety monitoring system and its method | |
| CN207283979U (en) | Big data management system | |
| CN208207842U (en) | Power distribution room safety management system | |
| CN111768580A (en) | Indoor anti-theft system and anti-theft method based on edge gateway | |
| CN216211205U (en) | Household intelligent security system based on Internet of things | |
| CN210563879U (en) | Finger vein identification stamp checking cabinet | |
| CN201138488Y (en) | Safety detection apparatus for entrance and exit | |
| CN202563654U (en) | Novel community security system | |
| CN206058321U (en) | A kind of intelligent access control system | |
| CN204595973U (en) | A kind of intelligent security protection equipment | |
| CN201886534U (en) | Warehouse door control detection system | |
| CN207650858U (en) | A kind of electronic tag and electronic tag detector for authentication | |
| CN109523673A (en) | A kind of multifunctional intellectual lock and anti-theft device | |
| CN114463882B (en) | Intelligent access control system based on near field sensing communication | |
| CN110415400A (en) | A kind of flush door access control system for community intelligent identification | |
| CN115909567A (en) | Novel interlocking system for access control | |
| CN107016765A (en) | A kind of entrance guard device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20191227 Termination date: 20210325 |