CN112349015B

CN112349015B - Shelter management and control system and method based on Internet of things

Info

Publication number: CN112349015B
Application number: CN202011169407.9A
Authority: CN
Inventors: 钱明; 汪奇峰; 余南; 李晶晶; 马文泰; 金剑; 李志朋; 张庆; 阮靖; 王潇; 陈小坤; 夏伦亮; 张韬; 邵克晨; 戴烽; 陈文华; 李林; 李宁; 陈亮; 郑建平
Original assignee: Nanjing Changjiang Waterway Engineering Bureau
Current assignee: Nanjing Changjiang Waterway Engineering Bureau
Priority date: 2020-10-27
Filing date: 2020-10-27
Publication date: 2021-07-23
Anticipated expiration: 2040-10-27
Also published as: CN112349015A

Abstract

The invention discloses a shelter management and control system and method based on the Internet of things, wherein the shelter management and control system based on the Internet of things comprises: the system comprises a personnel safety prevention and control subsystem and a construction water area monitoring subsystem, wherein the personnel safety prevention and control subsystem is used for identifying identity information of workers and detecting physical condition information so as to judge whether the workers are abnormal personnel, when the workers are abnormal personnel, the workers are listed in a blacklist and give an alarm, and the safety coefficient and the prevention and control level of each door area can be determined so as to perform safety prevention and control on the door areas. The construction water area monitoring system is used for detecting construction environment information of a construction water area, displaying emergency prompt information when abnormal conditions exist, so that managers can make a shelter management plan according to the emergency prompt information, the system is used for realizing closed management and real-time health monitoring of personnel during epidemic prevention, the health and safety of all personnel on a construction site are ensured, and reliable guarantee is provided for the reworking and production of engineering construction projects during epidemic situations.

Description

Shelter management and control system and method based on Internet of things

Technical Field

The invention relates to the technical field of data processing, in particular to a shelter management and control system and method based on the Internet of things.

Background

Because influenced by the epidemic situation, need carry out the shelter management and control with stricter standard, control non-healthy personnel business turn over, prevent dangerous events such as crowd's infection, provide the safety guarantee and provide reliable information for the site operation for the staff.

However, the existing shelter management and control system is simple, is difficult to comprehensively monitor workers and construction water areas, and cannot provide safety guarantee.

The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.

Disclosure of Invention

The invention mainly aims to provide a shelter management and control system and method based on the Internet of things, and aims to solve the technical problems that a shelter management and control system in the prior art is simple, is difficult to comprehensively monitor workers and construction water areas, and cannot provide safety guarantee.

In order to achieve the above object, the present invention provides a shelter management and control system based on the internet of things, which includes:

a personnel safety prevention and control subsystem and a construction water area monitoring subsystem;

the personnel safety prevention and control subsystem is used for identifying identity information of a worker when the worker is detected to enter and exit, detecting physical condition information of the worker, judging whether the worker is an abnormal worker or not according to the identity information and the physical condition information, and controlling a gate of a gate machine to be opened when the worker is not the abnormal worker so as to release the worker; when the staff is abnormal, the staff is listed in a blacklist and is subjected to alarm prompt;

the personnel safety prevention and control subsystem is also used for counting personnel information and department areas of each department, determining the safety coefficient of each department area based on the personnel information, determining the prevention and control grade corresponding to the department area according to the safety coefficient, and performing safety prevention and control on the department area according to the prevention and control grade;

the construction water area monitoring subsystem is used for detecting construction environment information of a construction water area, judging whether the construction water area has abnormal conditions or not according to the construction environment information, generating emergency prompt information when the construction water area has the abnormal conditions, and displaying the emergency prompt information so that a manager can make a shelter management plan according to the emergency prompt information.

Optionally, the personnel safety prevention and control subsystem comprises: the shelter comprises a plurality of inlets and outlets, the face recognition device and the infrared temperature measurement device are arranged at the inlets and outlets, and the physical condition information comprises body temperature information;

the face recognition equipment is used for acquiring a current face image of a worker when the worker is detected to enter and exit, and sending the current face image to the data processing equipment;

the data processing equipment is used for intercepting a current eye image from the current face image, matching the current eye image with an eye image in preset data, and determining the identity information of the staff according to a matching result;

the infrared temperature measuring equipment is used for detecting the body temperature information of the staff and sending the body temperature information to the data processing equipment;

the data processing equipment is further used for judging whether the staff is abnormal according to the identity information and the body temperature information, and controlling a gate of a gate machine to be opened when the staff is not abnormal so as to release the staff; and when the staff is abnormal, listing the staff in a blacklist and carrying out alarm prompt.

Optionally, the personnel safety prevention and control subsystem further comprises: the gate controller and the alarm prompt device are arranged at the inlet and the outlet;

the data processing equipment is also used for comparing the body temperature information with preset body temperature information and judging the staff as abnormal staff when the body temperature information is greater than the preset body temperature information;

the data processing equipment is further used for extracting name information from the identity information when the body temperature information is less than or equal to preset body temperature information, judging whether the staff is blacklist staff or not according to the name information, and searching a target department corresponding to the staff according to the name information when the staff is not blacklist staff;

the data processing device is further configured to obtain target person information corresponding to a target person of the target department, determine whether a blacklist person exists in the target person according to the target person information, detect a number of the target blacklist persons in the target person when the blacklist person exists in the target person, compare the number of the target blacklist persons with a preset number threshold, determine that the target department is a blacklist department when the number of the target blacklist persons is greater than the preset number threshold, and determine that the worker is an abnormal person;

the data processing equipment is further used for judging that the target department is not a blacklist department when the number of the target blacklist people is smaller than or equal to a preset number threshold, acquiring blacklist people activity tracks corresponding to the target blacklist people in the target department, acquiring target activity tracks corresponding to the workers, performing track analysis according to the blacklist people activity tracks and the target activity tracks to determine track coincidence degree between the blacklist people and the workers, determining a coincidence coefficient according to the track coincidence degree, comparing the coincidence coefficient with a preset coefficient threshold, and judging that the workers are abnormal people when the coincidence coefficient is larger than the preset coefficient threshold; when the coincidence coefficient is less than or equal to a preset coefficient threshold value, judging that the worker is not an abnormal worker;

the data processing equipment is further used for searching position information of the face recognition equipment when the staff is not abnormal, determining a target inlet and outlet corresponding to the face recognition equipment according to the position information, searching a gate controller corresponding to the target inlet and outlet, and sending a normal passing instruction to the gate controller so that the gate controller controls a gate of the gate to be opened to allow the staff to pass;

the data processing equipment is further used for listing the staff in a blacklist according to the identity information of the staff when the staff is abnormal, searching the alarm prompting equipment corresponding to the target import and export, sending a no-pass instruction to the gate controller to enable the gate controller to control the gate of the gate to be kept closed, and sending an alarm prompting instruction to the alarm prompting equipment to enable the alarm prompting equipment to give an alarm prompt based on the alarm prompting instruction.

Optionally, the data processing device is further configured to count staff information and department areas of each department, determine the blacklist staff number of the department area according to the staff information, and determine the safety factor of the department area according to the blacklist staff number;

the data processing equipment is further used for judging whether the safety factor is greater than a first preset coefficient threshold value or not, judging that the department area corresponds to a first-level prevention and control grade when the safety factor is less than or equal to the first preset coefficient threshold value, generating first prompt information according to the department area, and displaying the first prompt information so that a manager can perform safety prevention and control on the department area according to the first prompt information;

the data processing equipment is further used for judging whether the safety factor is greater than a second preset coefficient threshold value when the safety factor is greater than the first preset coefficient threshold value, judging a secondary prevention and control grade corresponding to the department area when the safety factor is less than or equal to the second preset coefficient threshold value, generating second prompt information according to the department area, and displaying the second prompt information so that a manager can perform safety prevention and control on the department area according to the second prompt information;

the data processing equipment is further used for judging the corresponding three-level prevention and control level of the department area when the safety coefficient is larger than a second preset coefficient threshold value, generating third prompt information according to the department area, and displaying the third prompt information so that a manager can perform safety prevention and control on the department area according to the third prompt information;

wherein the first preset coefficient threshold is smaller than a second preset coefficient threshold.

Optionally, the construction water area monitoring subsystem includes: water level detection equipment, wind speed detection equipment, wind direction detection equipment, waters monitoring facilities and construction waters information display device, water level detection equipment wind speed detection equipment with wind direction detection equipment sets up the construction waters detection position that corresponds at the shelter, construction waters information display device sets up the management office in shelter, construction environmental information includes: water level information, wind speed information, and wind direction information;

the water level detection equipment is used for detecting water level information of a construction water area and sending the water level information to the water area monitoring equipment;

the wind speed detection equipment is used for detecting wind speed information of the construction water area and sending the wind speed information to the water area monitoring equipment;

the wind direction detection equipment is used for detecting wind direction information of the construction water area and sending the wind direction information to the water area monitoring equipment;

the water area detection equipment is used for judging whether the construction water area has an abnormal condition or not according to the water level information, the wind speed information and the wind direction information, generating emergency prompt information when the construction water area has the abnormal condition, and sending the emergency prompt information to the construction water area information display equipment;

and the construction water area information display equipment is used for displaying the emergency prompt information so that a manager can make a shelter management plan according to the emergency prompt information.

In addition, in order to achieve the above object, the present invention further provides an internet of things-based shelter management and control method, which is applied to the internet of things-based shelter management and control system as described above, and the internet of things-based shelter management and control system includes: personnel safety prevention and control subsystem and construction waters monitoring subsystem, the shelter management and control method based on the Internet of things comprises the following steps:

when the personnel safety prevention and control subsystem detects that a worker enters or exits, the personnel safety prevention and control subsystem identifies identity information of the worker, detects physical condition information of the worker, judges whether the worker is an abnormal worker or not according to the identity information and the physical condition information, and controls a gate of a gate machine to be opened to release the worker when the worker is not the abnormal worker; when the staff is abnormal, the staff is listed in a blacklist and is subjected to alarm prompt;

the personnel safety prevention and control subsystem counts personnel information and department regions of each department, determines safety factors of each department region based on the personnel information, determines prevention and control levels corresponding to the department regions according to the safety factors, and performs safety prevention and control on the department regions according to the prevention and control levels;

the construction water area monitoring subsystem detects construction environment information of a construction water area, judges whether the construction water area has abnormal conditions or not according to the construction environment information, generates emergency prompt information when the construction water area has the abnormal conditions, and displays the emergency prompt information so that managers can make a shelter management plan according to the emergency prompt information.

when the personnel safety prevention and control subsystem detects that a worker enters or exits, the personnel safety prevention and control subsystem identifies identity information of the worker, detects physical condition information of the worker, judges whether the worker is an abnormal worker or not according to the identity information and the physical condition information, and controls a gate of a gate machine to be opened to release the worker when the worker is not the abnormal worker; when the staff is abnormal, the staff is listed in a blacklist and is subjected to alarm prompt, and the method comprises the following steps:

when detecting that a worker enters or exits, the face recognition equipment acquires a current face image of the worker and sends the current face image to the data processing equipment;

the data processing equipment intercepts a current eye image from the current face image, matches the current eye image with an eye image in a preset database, and determines the identity information of the staff according to a matching result;

the infrared temperature measuring equipment detects body temperature information of the staff and sends the body temperature information to the data processing equipment;

the data processing equipment judges whether the staff is abnormal according to the identity information and the body temperature information, and controls a gate of a gate machine to be opened when the staff is not abnormal so as to release the staff; and when the staff is abnormal, listing the staff in a blacklist and carrying out alarm prompt.

the data processing equipment judges whether the staff is abnormal according to the identity information and the body temperature information, and controls a gate of a gate machine to be opened when the staff is not abnormal so as to release the staff; when the staff is abnormal, the staff is listed in a blacklist and is subjected to alarm prompt, and the method comprises the following steps:

the data processing equipment compares the body temperature information with preset body temperature information, and when the body temperature information is larger than the preset body temperature information, the data processing equipment judges that the worker is an abnormal worker;

the data processing equipment extracts name information from the identity information when the body temperature information is less than or equal to preset body temperature information, judges whether the staff is blacklist staff or not according to the name information, and searches a target department corresponding to the staff according to the name information when the staff is not blacklist staff;

the data processing equipment acquires target personnel information corresponding to target personnel of the target department, judges whether blacklist personnel exist in the target personnel according to the target personnel information, detects the number of the target blacklist personnel in the target personnel when the blacklist personnel exist in the target personnel, compares the number of the target blacklist personnel with a preset number threshold, judges that the target department is the blacklist department and judges that the staff is abnormal when the number of the target blacklist personnel is larger than the preset number threshold;

when the number of the target blacklist people is smaller than or equal to a preset number threshold value, the data processing equipment judges that the target department is not a blacklist department, obtains blacklist people activity tracks corresponding to the target blacklist people in the target department, obtains target activity tracks corresponding to the workers, performs track analysis according to the blacklist people activity tracks and the target activity tracks to determine track coincidence degree between the blacklist people and the workers, determines a coincidence coefficient according to the track coincidence degree, compares the coincidence coefficient with a preset coefficient threshold value, and judges that the workers are abnormal people when the coincidence coefficient is larger than the preset coefficient threshold value; when the coincidence coefficient is less than or equal to a preset coefficient threshold value, judging that the worker is not an abnormal worker;

when the staff is not abnormal, the data processing equipment searches the position information of the face recognition equipment, determines a target inlet and outlet corresponding to the face recognition equipment according to the position information, searches a gate controller corresponding to the target inlet and outlet, and sends a normal passing instruction to the gate controller so that the gate controller controls the gate of the gate to be opened to allow the staff to pass;

when the staff is abnormal, the data processing equipment lists the staff in a blacklist according to the identity information of the staff, searches for alarm prompting equipment corresponding to the target import and export, sends a no-pass instruction to the gate controller so that the gate of the gate is controlled to be closed by the gate controller, and sends an alarm prompting instruction to the alarm prompting equipment so that the alarm prompting equipment gives an alarm prompt based on the alarm prompting instruction.

Optionally, the personnel safety prevention and control subsystem makes statistics of personnel information and the department region of each department, based on personnel information confirms the factor of safety in each department region, according to factor of safety confirms the prevention and control level that the department region corresponds, and according to the prevention and control level is right the department region carries out safety prevention and control, includes:

the data processing equipment counts personnel information and department regions of each department, determines the blacklist personnel number of the department region according to the personnel information, and determines the safety factor of the department region according to the blacklist personnel number;

the data processing equipment judges whether the safety factor is greater than a first preset coefficient threshold value or not, when the safety factor is less than or equal to the first preset coefficient threshold value, the data processing equipment judges that the department area corresponds to a first-level prevention and control grade, generates first prompt information according to the department area, and displays the first prompt information so that a manager can perform safety prevention and control on the department area according to the first prompt information;

the data processing equipment judges whether the safety factor is greater than a second preset coefficient threshold value or not when the safety factor is greater than a first preset coefficient threshold value, judges a secondary prevention and control grade corresponding to the department area when the safety factor is less than or equal to the second preset coefficient threshold value, generates second prompt information according to the department area, and displays the second prompt information so that a manager can perform safety prevention and control on the department area according to the second prompt information;

when the safety coefficient is larger than a second preset coefficient threshold value, the data processing equipment judges that the department area corresponds to three-level prevention and control levels, generates third prompt information according to the department area, and displays the third prompt information so that a manager can perform safety prevention and control on the department area according to the third prompt information;

the construction waters monitoring subsystem detects construction environmental information of construction waters, judges according to the construction environmental information whether the construction waters have abnormal conditions, when the construction waters have abnormal conditions, generates urgent prompt information, and right the urgent prompt information is demonstrateed to make managers according to urgent prompt information makes shelter management plan, include:

the water level detection equipment detects water level information of a construction water area and sends the water level information to the water area monitoring equipment;

the wind speed detection equipment detects wind speed information of the construction water area and sends the wind speed information to the water area monitoring equipment;

the wind direction detection equipment detects wind direction information of the construction water area and sends the wind direction information to the water area monitoring equipment;

the water area detection equipment judges whether the construction water area has an abnormal condition or not according to the water level information, the wind speed information and the wind direction information, generates emergency prompt information when the construction water area has the abnormal condition, and sends the emergency prompt information to the construction water area information display equipment;

and the construction water area information display equipment displays the emergency prompt information so that a manager can make a shelter management plan according to the emergency prompt information.

The shelter management and control system based on the Internet of things comprises: personnel safety prevention and control subsystem and construction waters monitoring subsystem, personnel safety prevention and control subsystem for when the staff business turn over, discern staff's identity information and detect health status information, whether in order to judge the staff is unusual personnel, when not being unusual personnel, the gate of control floodgate machine is opened and is released, when being unusual personnel, list the staff into the blacklist and the suggestion of reporting to the police, still can count personnel information and the department region of each department, and confirm regional factor of safety and prevention and control grade of department, in order to carry out safety prevention and control to the department region. The construction water area monitoring system is used for detecting construction environment information of a construction water area to judge whether an abnormal condition exists or not, and displaying emergency prompt information when the abnormal condition exists so that managers can make a shelter management plan according to the emergency prompt information, and the system is used for realizing closed management and real-time health monitoring of personnel during epidemic prevention, ensures the health and safety of all personnel at a construction site, and provides reliable guarantee for the reworking and production of engineering construction projects during epidemic situations.

Drawings

Fig. 1 is a functional module schematic diagram of a shelter management and control system based on the internet of things according to a first embodiment of the present invention;

fig. 2 is a schematic flow chart of a first embodiment of the shelter management and control method based on the internet of things;

fig. 3 is a schematic flow chart of a shelter management and control method based on the internet of things according to a second embodiment of the invention;

fig. 4 is a schematic flow chart of a shelter management and control method based on the internet of things according to a third embodiment of the invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Referring to fig. 1, fig. 1 is a functional module schematic diagram of a shelter management and control system based on the internet of things according to a first embodiment of the present invention. The shelter management and control system based on the Internet of things comprises: a personnel safety control subsystem 10 and a construction water area monitoring subsystem 20;

the personnel safety prevention and control subsystem 10 is used for identifying identity information of a worker when the worker is detected to enter and exit, detecting physical condition information of the worker, judging whether the worker is an abnormal worker or not according to the identity information and the physical condition information, and controlling a gate of a gate machine to be opened to release the worker when the worker is not the abnormal worker; and when the staff is abnormal, listing the staff in a blacklist and carrying out alarm prompt.

It should be understood that the shelter can be used for water transportation engineering projects, one or more inlets and one or more outlets can be arranged, a face recognition device and an infrared temperature measurement device are arranged at each inlet and outlet, and a gate is arranged at each inlet and outlet to control the inlet and outlet. The wing gate with double channels can be adopted to increase the number of people passing in and out simultaneously, avoid the direct contact of workers and equipment and improve the safety prevention and control capability.

It can be understood that when the entering and exiting of the staff are detected, for example, when the staff is present in the range close to the gate, the identity information of the staff is recognized and the physical condition information is detected, and whether the staff is an abnormal person or not can be judged according to the identity information and the physical condition information.

When the staff is not abnormal, the normal operation is described, and the normal operation can be realized, so that the gate of the gate machine can be controlled to be opened to release the staff. When the staff is abnormal, the potential safety hazard is indicated, in order to avoid concentrated infection, the gate is kept in a closed state, the staff is forbidden to pass, and the staff is listed in a blacklist and is subjected to alarm prompt, so that the surrounding staff is warned to be protected and the manager is informed to perform emergency treatment.

The personnel safety prevention and control subsystem 10 is further configured to count personnel information and department areas of each department, determine safety factors of each department area based on the personnel information, determine prevention and control levels corresponding to the department areas according to the safety factors, and perform safety prevention and control on the department areas according to the prevention and control levels.

It should be understood that, this shelter management and control system still can set up 24 hours surveillance camera heads, avoids someone to damage shelter and internal plant, disposes a plurality of camera heads and provides 24 hours incessant control. The personnel information and the department area of each department can be counted, the blacklist personnel number of the department area is determined based on the personnel information, and then the prevention and control level of the department area is determined according to the blacklist personnel number so as to perform safety prevention and control on the department area.

It is understood that the people in the blacklist are dangerous people, including abnormal body temperature people and close contacts of abnormal body temperature people, and if the number of the blacklist people in one department area is too large, the danger is shown; if the number of the blacklist personnel in one department area is 0, the blacklist personnel is safe, different prevention and control levels can be determined, and different department areas can be safely prevented and controlled according to the different prevention and control levels, so that a better prevention and control effect can be achieved.

The construction water area monitoring subsystem 20 is used for detecting construction environment information of a construction water area, judging whether the construction water area has abnormal conditions or not according to the construction environment information, generating emergency prompt information when the construction water area has the abnormal conditions, and displaying the emergency prompt information so that a manager can make a shelter management plan according to the emergency prompt information.

It should be understood that the construction environmental information of the construction water area can be detected by the construction water area monitoring subsystem, whether the construction water area has abnormal conditions or not is judged according to the construction environmental information, and if the construction water area has no abnormal conditions, all the conditions are normal; if the abnormal condition exists in the construction water area, the construction personnel are indicated to be dangerous when constructing, therefore, emergency prompt information can be generated and displayed, and management personnel formulate a shelter management plan according with the current condition according to the emergency prompt information so as to ensure the safety of the construction personnel.

In this embodiment, the shelter management and control system based on the internet of things includes: personnel safety prevention and control subsystem 10 and construction waters monitoring subsystem 20, personnel safety prevention and control subsystem 10 for when the staff business turn over, the identity information of discernment staff and detection health information to judge whether the staff is unusual personnel, when not being unusual personnel, the gate of control floodgate machine is opened and is let pass, when being unusual personnel, list the staff into the blacklist and the suggestion of reporting to the police, still can count personnel information and the department region of each department, and confirm regional factor of safety and prevention and control grade of department, in order to carry out safety prevention and control to the department region. The construction water area monitoring system is used for detecting construction environment information of a construction water area to judge whether an abnormal condition exists or not, and displaying emergency prompt information when the abnormal condition exists so that managers can make a shelter management plan according to the emergency prompt information, and the system is used for realizing closed management and real-time health monitoring of personnel during epidemic prevention, ensures the health and safety of all personnel at a construction site, and provides reliable guarantee for the reworking and production of engineering construction projects during epidemic situations.

Other embodiments or specific implementation methods of the shelter management and control system based on the internet of things can refer to various method embodiments, and are not described herein again.

Referring to fig. 2, the invention provides a shelter management and control method based on the internet of things, which is based on a shelter management and control system based on the internet of things, and the shelter management and control system based on the internet of things comprises: personnel safety prevention and control subsystem and construction waters monitoring subsystem, the shelter management and control method based on the Internet of things comprises the following steps:

step S10, when the personnel safety prevention and control subsystem detects that a worker enters or exits, the personnel safety prevention and control subsystem identifies identity information of the worker, detects physical condition information of the worker, judges whether the worker is an abnormal worker or not according to the identity information and the physical condition information, and controls a gate of a gate machine to be opened to release the worker when the worker is not the abnormal worker; and when the staff is abnormal, listing the staff in a blacklist and carrying out alarm prompt.

And step S20, the personnel safety prevention and control subsystem counts personnel information and department areas of each department, determines the safety coefficient of each department area based on the personnel information, determines the prevention and control grade corresponding to the department area according to the safety coefficient, and performs safety prevention and control on the department area according to the prevention and control grade.

And S30, the construction water area monitoring subsystem detects construction environment information of a construction water area, judges whether the construction water area has abnormal conditions or not according to the construction environment information, generates emergency prompt information when the construction water area has the abnormal conditions, and displays the emergency prompt information so that managers can make a shelter management plan according to the emergency prompt information.

In this embodiment, the personnel safety prevention and control subsystem can identify the identity information of the staff and detect the physical condition information when the staff goes in and out, so as to judge whether the staff is abnormal or not, control the gate of the gate machine to open and release when the staff is not abnormal, list the staff in a blacklist and give an alarm prompt when the staff is abnormal, count the personnel information and the department area of each department, and determine the safety coefficient and the prevention and control level of the department area, so as to perform safety prevention and control on the department area. The construction water area monitoring system can detect construction environment information of a construction water area to judge whether an abnormal condition exists or not, and display emergency prompt information when the abnormal condition exists so that managers can make a shelter management plan according to the emergency prompt information.

Further, as shown in fig. 3, a second embodiment of the shelter management and control method based on the internet of things is provided based on the first embodiment, and in this embodiment, the personnel safety control subsystem includes: face identification equipment, infrared temperature measurement equipment and data processing equipment, shelter include a plurality of exits, face identification equipment with infrared temperature measurement equipment sets up at the exit, health information includes body temperature information, step S10 includes:

step S101, when detecting that a worker enters or exits, the face recognition device collects a current face image of the worker and sends the current face image to the data processing device.

It should be understood that the data processing device may be a computer device, a local device, or a server device, which is not limited in this embodiment. The shelter can comprise a plurality of inlets and outlets, so a plurality of face recognition devices and infrared temperature measuring devices can be arranged at the inlets and outlets. Since body temperature detection is one of effective criteria for detecting whether a worker is abnormal, the physical condition information may include body temperature information.

It can be understood that when the staff enters the detection range of the face recognition device, the staff is judged to be detected to enter and exit, the current face image of the staff can be collected, and the current face image is sent to the data processing device to be processed.

And S102, intercepting a current eye image from the current face image by the data processing equipment, matching the current eye image with an eye image in a preset database, and determining the identity information of the staff according to a matching result.

It should be understood that, because workers can wear the mask to protect during an epidemic situation, the face recognition effect is poor, and eye recognition can be performed specifically to improve the accuracy of recognition. The data processing equipment can perform image processing on the current face image, intercept the current eye image from the current face image, match the current eye image with the eye image in the preset database, and determine the identity information of the staff according to the matching result.

It can be understood that the identity information and the eye images of all the workers can be collected in advance, the corresponding relation between the identity information and the eye images is established, and the corresponding relation is stored in the preset database. The preset database may be a local database or a cloud database, which is not limited in this embodiment.

And S103, detecting the body temperature information of the staff by the infrared temperature measuring equipment, and sending the body temperature information to the data processing equipment.

It should be understood that the body temperature information of the staff can be detected by the infrared temperature measuring equipment and sent to the data processing equipment for processing.

Step S104, the data processing equipment judges whether the staff is abnormal according to the identity information and the body temperature information, and when the staff is not abnormal, a gate of a gate machine is controlled to be opened so as to release the staff; and when the staff is abnormal, listing the staff in a blacklist and carrying out alarm prompt.

It can be understood that the data processing device can judge whether the staff is abnormal according to the identity information and the body temperature information, and perform corresponding processing according to the judgment result.

Further, the personnel safety prevention and control subsystem further comprises: floodgate machine controller and warning suggestion equipment, floodgate machine controller with warning suggestion equipment sets up in entry and exit department, step S104 includes:

(1) and the data processing equipment compares the body temperature information with preset body temperature information, and judges that the staff is abnormal when the body temperature information is greater than the preset body temperature information.

It should be understood that the gate controller is a controller of the gate and is configured to control a state of the gate, and the alarm prompting device may be a voice alarm device such as a speaker or an alarm device with a screen display function.

It can be understood that the maximum normal body temperature value may be preset and used as the preset body temperature information, wherein the maximum normal body temperature value may be set according to an actual situation, which is not limited in this embodiment. The body temperature information can be compared with the preset body temperature information, when the body temperature information is larger than the preset body temperature information, the fact that the body temperature of the worker is overhigh and fever symptoms are likely to exist is indicated, and therefore the worker is judged to be an abnormal worker.

(2) And when the body temperature information is less than or equal to the preset body temperature information, the data processing equipment extracts name information from the identity information, judges whether the staff is blacklist staff or not according to the name information, and searches a target department corresponding to the staff according to the name information when the staff is not blacklist staff.

It should be understood that when the body temperature information is less than or equal to the preset body temperature information, it indicates that the body temperature of the worker is normal, and no fever symptom exists, and the identity of the worker can be further detected. Name information can be extracted from the identity information, whether the staff is blacklist staff or not is judged according to the name information, and when the staff is not blacklist staff, a target department corresponding to the staff is searched according to the name information. Wherein the person is required to be isolated and tested while being blacklisted, and after a period of time, if the security is confirmed, the person can be removed from the blacklist. Therefore, the people on the blacklist are all the people who are at present dangerous.

(3) The data processing equipment acquires target personnel information corresponding to target personnel of the target department, judges whether blacklist personnel exist in the target personnel according to the target personnel information, detects the number of the target blacklist personnel in the target personnel when the blacklist personnel exist in the target personnel, compares the number of the target blacklist personnel with a preset number threshold, judges that the target department is the blacklist department when the number of the target blacklist personnel is larger than the preset number threshold, and judges that the staff is abnormal personnel.

It should be understood that all persons in the targeted department are targeted, and because the contact between persons in each department is relatively close, if there are too many abnormal persons in one department, the risk of infection for other persons is relatively high. Therefore, the target person information corresponding to the target person can be obtained, and whether blacklist persons exist in the target person can be judged according to the target person information.

And if the blacklist personnel exist in the target personnel, detecting the number of the target blacklist personnel in the target personnel, comparing the number of the target blacklist personnel with a preset number threshold, judging that the target department is a blacklist department and judging that the worker is an abnormal worker when the number of the target blacklist personnel is greater than the preset number threshold. The preset number threshold may be 2, or may be other values, which is not limited in this embodiment.

(4) When the number of the target blacklist people is smaller than or equal to a preset number threshold value, the data processing equipment judges that the target department is not a blacklist department, obtains blacklist people activity tracks corresponding to the target blacklist people in the target department, obtains target activity tracks corresponding to the workers, performs track analysis according to the blacklist people activity tracks and the target activity tracks to determine track coincidence degree between the blacklist people and the workers, determines a coincidence coefficient according to the track coincidence degree, compares the coincidence coefficient with a preset coefficient threshold value, and judges that the workers are abnormal people when the coincidence coefficient is larger than the preset coefficient threshold value; and when the coincidence coefficient is less than or equal to a preset coefficient threshold value, judging that the worker is not an abnormal worker.

It should be understood that when the number of the target blacklisted people is less than or equal to the preset number threshold, it indicates that the department is safe at present, and may obtain the activity track of the blacklisted people corresponding to the target blacklisted people, and perform track analysis according to the activity track of the blacklisted people and the target activity track corresponding to the staff, so as to determine the track coincidence degree between the blacklisted people and the staff, and further determine the coincidence coefficient. The contact between the blacklist personnel and the staff is more, the track coincidence degree between the blacklist personnel and the staff is larger, and the coincidence coefficient is larger.

It will be appreciated that a preset coefficient threshold may be preset, indicating that they are in close contact if reached. Therefore, the coincidence coefficient can be compared with a preset coefficient threshold value, and when the coincidence coefficient is larger than the preset coefficient threshold value, the worker is judged to be an abnormal worker; and when the coincidence coefficient is less than or equal to the preset coefficient threshold value, judging that the worker is not an abnormal worker.

(5) When the staff is not abnormal, the data processing equipment searches the position information of the face recognition equipment, determines a target inlet and outlet corresponding to the face recognition equipment according to the position information, searches a gate controller corresponding to the target inlet and outlet, and sends a normal passing instruction to the gate controller, so that the gate controller controls the gate of the gate to be opened, and the staff is released.

It should be understood that each inlet and outlet can be provided with a face recognition device and a gate controller, so that when the staff is not abnormal, the position information of the face recognition device is searched to determine the corresponding target inlet and outlet, the gate controller corresponding to the target inlet and outlet is searched, and a normal passing instruction is sent to the gate controller, so that the gate controller controls the gate of the gate to be opened to release the staff.

In a specific implementation, for example, it is assumed that there are two inlets and outlets, i.e., an inlet and an outlet a and an inlet and an outlet B, where the inlet and the outlet a are provided with a face recognition device a and a gate controller a, and the inlet and the outlet B are provided with a face recognition device B and a gate controller B. If the data processing equipment judges that the staff is not abnormal and the equipment for collecting the staff information is the face recognition equipment A, the target inlet and outlet can be determined to be the inlet and outlet A, the corresponding gate controller A can be further determined, and a normal passing instruction is sent to the gate controller A.

(6) When the staff is abnormal, the data processing equipment lists the staff in a blacklist according to the identity information of the staff, searches for alarm prompting equipment corresponding to the target import and export, sends a no-pass instruction to the gate controller so that the gate of the gate is controlled to be closed by the gate controller, and sends an alarm prompting instruction to the alarm prompting equipment so that the alarm prompting equipment gives an alarm prompt based on the alarm prompting instruction.

It should be understood that, when the staff is an abnormal person, the staff can be listed in a blacklist according to the identity information of the staff, the alarm prompting device corresponding to the target inlet and outlet is searched, a no-passing instruction is sent to the gate controller, so that the gate of the gate is controlled to be closed by the gate controller, and the alarm prompting device is sent with an alarm prompting instruction, so that the alarm prompting device gives an alarm prompt based on the alarm prompting instruction, and prompts surrounding staff to perform self-protection and safety control, thereby avoiding the situation of infection diffusion.

In the embodiment, the identity information, the physical condition information, the activity track and other information of the personnel entering and exiting the field can be detected in real time, the unhealthy personnel with abnormal physical conditions are forbidden to enter and exit the shelter, and meanwhile, the information early warning is sent out when the abnormal conditions are detected, so that the personnel safety of the shelter is guaranteed, and the reliable safety guarantee is provided.

Further, as shown in fig. 4, a third embodiment of the shelter management and control method based on the internet of things is proposed based on the second embodiment, and the step S20 includes:

step S201, the data processing equipment counts the personnel information and the department area of each department, determines the blacklist personnel number of the department area according to the personnel information, and determines the safety factor of the department area according to the blacklist personnel number.

It should be understood that, since the data processing device collects data of the personnel in the whole cabin, the personnel information and the department area of each department can be counted according to the data, and then the blacklist personnel number of the department area can be determined according to the personnel information, the more the blacklist personnel number is, the worse the security is, on the contrary, the less the blacklist personnel number is, the higher the security is, and therefore, the security coefficient of the department area can be determined according to the blacklist personnel number, wherein the higher the security coefficient is, the higher the security is.

Step S202, the data processing equipment judges whether the safety factor is larger than a first preset coefficient threshold value, judges that the department area corresponds to a first-level prevention and control grade when the safety factor is smaller than or equal to the first preset coefficient threshold value, generates first prompt information according to the department area, and displays the first prompt information so that a manager can perform safety prevention and control on the department area according to the first prompt information.

It should be noted that a first preset coefficient threshold and a second preset coefficient threshold may be preset, where the first preset coefficient threshold is smaller than the second preset coefficient threshold. A first-level prevention and control grade, a second-level prevention and control grade and a third-level prevention and control grade can be preset, the prevention and control grade of the first-level prevention and control grade is the highest, and the second-level prevention and control grade and the third-level prevention and control grade are sequentially reduced.

It should be understood that if the safety factor is less than or equal to the first preset coefficient threshold, it indicates that the department area is extremely dangerous, and therefore, it may be determined that the department area corresponds to a first-level prevention and control level, and further, a first prompt message is generated according to the department area, and the first prompt message is displayed, so that a manager performs safety prevention and control on the department area according to the first prompt message.

Step S203, when the safety factor is greater than a first preset coefficient threshold value, the data processing equipment judges whether the safety factor is greater than a second preset coefficient threshold value, when the safety factor is less than or equal to the second preset coefficient threshold value, the data processing equipment judges that the department area corresponds to a secondary prevention and control grade, second prompt information is generated according to the department area, and the second prompt information is displayed, so that a manager can perform safety prevention and control on the department area according to the second prompt information.

It should be understood that if the safety factor is between the first preset coefficient threshold and the second preset coefficient threshold, it indicates that the department area is dangerous, so that the department area can be determined to correspond to the secondary prevention and control level, and then the second prompt information is generated according to the department area and displayed, so that the manager can perform safety prevention and control on the department area according to the second prompt information.

And S204, when the safety coefficient is greater than a second preset coefficient threshold value, the data processing equipment judges that the department area corresponds to three-level prevention and control levels, generates third prompt information according to the department area, and displays the third prompt information so that a manager can perform safety prevention and control on the department area according to the third prompt information.

It should be understood that if the safety factor is greater than the second preset coefficient threshold, it indicates that the department area is safe, so that it can be determined that the department area corresponds to the third-level prevention and control level, and further, a third prompt message is generated according to the department area, and the third prompt message is displayed, so that a manager can perform safety prevention and control on the department area according to the third prompt message.

In a specific implementation, the safety prevention and control measure corresponding to the first-level prevention and control level may be to seal the area, the safety prevention and control measure corresponding to the second-level prevention and control level may be to perform key disinfection, the safety prevention and control measure corresponding to the third-level prevention and control level may be to perform normal disinfection, and the like, and may also be other safety prevention and control measures, which is not limited by this embodiment. For example, assuming that the department area is area a, the first prompt message generated may be "area a is extremely dangerous, please close as soon as possible" corresponding to the first level of prevention and control level.

Further, the construction water area monitoring subsystem comprises: water level detection equipment, wind speed detection equipment, wind direction detection equipment, waters monitoring facilities and construction waters information display device, water level detection equipment wind speed detection equipment with wind direction detection equipment sets up the construction waters detection position that corresponds at the shelter, construction waters information display device sets up the management office in shelter, construction environmental information includes: water level information, wind speed information, and wind direction information;

the step S30 includes:

the water level detection equipment detects water level information of a construction water area and sends the water level information to the water area monitoring equipment; the wind speed detection equipment detects wind speed information of the construction water area and sends the wind speed information to the water area monitoring equipment; the wind direction detection equipment detects wind direction information of the construction water area and sends the wind direction information to the water area monitoring equipment; the water area detection equipment judges whether the construction water area has an abnormal condition or not according to the water level information, the wind speed information and the wind direction information, generates emergency prompt information when the construction water area has the abnormal condition, and sends the emergency prompt information to the construction water area information display equipment; and the construction water area information display equipment displays the emergency prompt information so that a manager can make a shelter management plan according to the emergency prompt information.

It should be understood that the wind speed detection device and the wind direction detection device may be the same device, or may be two separate devices, and may be disposed on the top of the shelter, or may be disposed at other positions, which is not limited by the embodiment. The construction water area information display equipment is arranged in a management office of the shelter and can be a television or a computer and other equipment, a manager can know the current condition of the construction water area immediately through the display equipment, and the water area detection equipment can be computer equipment.

It can be understood that the water level detection equipment can detect water level information of a construction water area, the wind speed detection equipment can detect wind speed information of the construction water area, the wind direction detection equipment can detect wind direction information of the construction water area, the water area detection equipment judges whether an abnormal condition exists in the construction water area or not according to the water level information, the wind speed information and the wind direction information, when the abnormal condition exists in the construction water area, emergency prompt information is generated and sent to the construction water area information display equipment, the emergency prompt information is displayed by the construction water area information display equipment, so that managers can see the emergency prompt information in time, and a shelter management plan is formulated according to the emergency prompt information. For example, if the abnormal condition is serious, an emergency prompt message with a higher severity level may be generated, and if the emergency prompt message is seen by the manager, a management plan such as stopping construction of the closed shelter or stopping emergency evacuation of the construction may be made to determine the personal safety of the constructor.

In this embodiment, the personnel information detected by the personnel information subsystem is collected, data analysis is performed on the personnel information based on the internet of things, the safety factors of all the department regions are calculated, different levels of prevention and control are performed on the regions with different safety factors, and the safety of the personnel on the construction site is further improved. Each module in the construction information subsystem can detect each item of information data of a construction water area in real time, provide reliable information for site construction, automatically evaluate each item of information, and generate emergency prompt information if abnormal information occurs, so that managers can quickly respond to the abnormal conditions as soon as possible, and the safety of the constructors is guaranteed.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling an intelligent terminal (which may be a mobile phone, a computer, a terminal, an air conditioner, or a network terminal) to execute the method according to the embodiments of the present invention.

The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. The utility model provides a shelter management and control system based on thing networking which characterized in that, shelter management and control system based on thing networking includes: a personnel safety prevention and control subsystem and a construction water area monitoring subsystem;

the construction water area monitoring subsystem is used for detecting construction environment information of a construction water area, judging whether the construction water area has an abnormal condition or not according to the construction environment information, generating emergency prompt information when the construction water area has the abnormal condition, and displaying the emergency prompt information so that a manager can make a shelter management plan according to the emergency prompt information;

wherein, personnel's safety prevention and control subsystem includes: the shelter comprises a plurality of inlets and outlets, the face recognition device and the infrared temperature measurement device are arranged at the inlets and outlets, and the physical condition information comprises body temperature information;

the data processing equipment is further used for judging whether the staff is abnormal according to the identity information and the body temperature information, and controlling a gate of a gate machine to be opened when the staff is not abnormal so as to release the staff; when the staff is abnormal, the staff is listed in a blacklist and is subjected to alarm prompt;

wherein, personnel's safety prevention and control subsystem still includes: the gate controller and the alarm prompt device are arranged at the inlet and the outlet;

2. The system as claimed in claim 1, wherein the data processing device is further configured to count personnel information and department areas of each department, determine the blacklisted number of personnel in the department area according to the personnel information, and determine the safety factor of the department area according to the blacklisted number of personnel;

3. The internet of things-based shelter management and control system of claim 1 or 2, wherein the construction water area monitoring subsystem comprises: water level detection equipment, wind speed detection equipment, wind direction detection equipment, waters monitoring facilities and construction waters information display device, water level detection equipment wind speed detection equipment with wind direction detection equipment sets up the construction waters detection position that corresponds at the shelter, construction waters information display device sets up the management office in shelter, construction environmental information includes: water level information, wind speed information, and wind direction information;

4. An internet of things-based shelter management and control method, wherein the internet of things-based shelter management and control method is applied to the internet of things-based shelter management and control system according to any one of claims 1 to 3, and the internet of things-based shelter management and control system comprises: personnel safety prevention and control subsystem and construction waters monitoring subsystem, the shelter management and control method based on the Internet of things comprises the following steps:

the construction water area monitoring subsystem detects construction environment information of a construction water area, judges whether the construction water area has an abnormal condition or not according to the construction environment information, generates emergency prompt information when the construction water area has the abnormal condition, and displays the emergency prompt information so that a manager can make a shelter management plan according to the emergency prompt information;

the data processing equipment judges whether the staff is abnormal according to the identity information and the body temperature information, and controls a gate of a gate machine to be opened when the staff is not abnormal so as to release the staff; when the staff is abnormal, the staff is listed in a blacklist and is subjected to alarm prompt;

5. The shelter management and control method based on the internet of things as claimed in claim 4, wherein the personnel safety control subsystem counts personnel information and department areas of each department, determines safety factors of each department area based on the personnel information, determines a control level corresponding to the department area according to the safety factors, and performs safety control on the department area according to the control level, and the method comprises the following steps:

6. The internet of things-based shelter management and control method according to claim 4 or 5, wherein the construction water area monitoring subsystem comprises: water level detection equipment, wind speed detection equipment, wind direction detection equipment, waters monitoring facilities and construction waters information display device, water level detection equipment wind speed detection equipment with wind direction detection equipment sets up the construction waters detection position that corresponds at the shelter, construction waters information display device sets up the management office in shelter, construction environmental information includes: water level information, wind speed information, and wind direction information;