Hospital security management system based on Internet of Things

Abstract

The invention relates to the technical field of security and protection, and discloses a hospital security and protection management system based on the Internet of Things, and the system comprises a fixed sampling module which obtains the safety parameter data of a designated position; the movable sampling module is used for acquiring security association data near the movable mechanism; the communication unit, the risk analysis center, the safety management center and the early warning strategy center analyze the air condition in a hospital by obtaining safety parameter data of a fixed position and movably obtaining safety association data, traceability is carried out by utilizing a movable sampling module when potential risks are found, and the safety of the hospital is improved. And finally, a corresponding early warning security strategy is executed, so that the reliability of hospital security and protection is fully improved.

Description

Technical Field

[0001] The present invention relates to the field of security technology, and in particular to a hospital security management system based on the Internet of Things. Background Art

[0002] The Internet of Things is an important part of the new generation of information technology and an important development stage in the "informatization" era. Its English name is "Internet of things (IoT)". As the name suggests, the Internet of Things is the Internet of things connected to each other. The Internet of Things is widely used in network integration through intelligent perception, recognition technology, ubiquitous computing and other communication perception technologies.

[0003] As a large public place, the hospital needs a comprehensive security system to protect the hospital. The current security monitoring system uses optical fiber, coaxial cable or microwave to transmit video signals in its closed loop, and constitutes an independent and complete system from camera to image display and recording. It can reflect the monitored object in real time, vividly and truly, which not only greatly extends the observation distance of the human eye, but also expands the function of the human eye. It can replace manual long-term monitoring in harsh environments, allowing people to see everything that actually happens at the monitored site and record it through a video recorder.

[0004] However, the above security system is limited to image perception of the visible area of ​​the hospital, and lacks danger perception of invisible environmental changes such as dangerous gases, which needs to be improved. Summary of the invention

[0005] The purpose of the present invention is to provide a hospital security management system based on the Internet of Things to solve the following technical problems:

[0006] How to improve the comprehensiveness and reliability of hospital security systems.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A hospital security management system based on the Internet of Things, comprising:

[0009] A fixed sampling module is arranged at a designated location on a designated floor and is used to obtain safety parameter data at the designated location;

[0010] A mobile sampling module, comprising a plurality of mobile sampling units arranged on a movable mechanism, for acquiring safety-related data near the movable mechanism; wherein the safety-related data is the same as the detection item of the safety parameter data; the mobile mechanism may be a cart or a wheelchair used by medical staff;

[0011] A communication unit, arranged on each floor, for acquiring data acquired by the fixed sampling module and the mobile sampling module;

[0012] a risk analysis center, connected to the communication unit, for performing risk warning analysis based on the security parameter data and the security-related data;

[0013] A security management center, connected to the risk analysis center, for performing source tracing analysis based on the security parameter data and the security-related data;

[0014] The early warning strategy center is connected to the risk analysis center and the security management center, and is used to determine the corresponding early warning security strategy according to the results of the risk early warning analysis and the results of the traceability analysis.

[0015] In this embodiment of the present invention, the safety parameter data may be parameters related to dangerous gases, the purpose of which is to provide early warning of possible dangerous gas leaks in the hospital to ensure the life safety of medical staff, patients and their families; the fixed sampling module includes a plurality of air outlet sampling units and a plurality of fixed sampling units, the air outlet sampling units are used to obtain the air outlet position data, and the fixed sampling units are used to obtain the preset point data;

[0016] The risk early warning analysis includes:

[0017] The tuyere position data and the preset point data are respectively compared with the corresponding specific safety thresholds, and if there is data exceeding the safety threshold, an early warning is issued;

[0018] Otherwise, a risk warning analysis is performed on the preset point data.

[0019] As a further solution of the present invention: the process of risk early warning analysis includes:

[0020] Calculate and obtain the risk matrix [G i Rs i ], compare any item in the risk matrix with the corresponding preset risk threshold:

[0021] If there are items that exceed the corresponding preset risk threshold, an early warning is issued;

[0022] in,

[0023]

[0024] Among them, G i is the risk factor of the i-th hazardous gas component item, Rs iis the coefficient of change of the i-th hazardous gas component item, μ is the adjustment coefficient, t is the current time point, Δt is the preset fixed period, For the period t-Δt~t Maximum value, A i (t) is the real-time monitoring concentration value of the i-th hazardous gas component item, f d (x) is the judgment function. When x≥0, f d (x) = x, when x < 0, f d (x) = 0, ρ i1 , i2 is the preset weight coefficient corresponding to the i-th hazardous gas component item.

[0025] As a further solution of the present invention: the risk early warning analysis also includes:

[0026] When the distance between the mobile sampling unit and the fixed sampling unit is less than a preset distance, the credibility analysis is started.

[0027] As a further solution of the present invention: the method for credibility analysis includes:

[0028] Calculate the concentration similarity coefficient s i and variation similarity coefficient sr i ;

[0029] Will s i and sr i The samples are compared with corresponding thresholds respectively, and when any one of the items is greater than the corresponding threshold, the sampling data of the mobile sampling unit is included in the traceability analysis;

[0030]

[0031] Where N is the number of preset points in the same space, j∈[1,N], Rs is the mean value of the i-th hazardous gas component item at all preset points. ij is the variation coefficient of the i-th harmful gas at the j-th preset point, Rs of the i-th hazardous gas component item at all preset points ij Mean.

[0032] As a further solution of the present invention: the traceability analysis includes:

[0033] instructing the mobile sampling unit to move;

[0034] The mobile sampling unit is kept moving in a direction causing the security-related data to continuously increase.

[0035] As a further solution of the present invention: it also includes a personnel management module and a logistics management module;

[0036] The personnel management module includes an attendance module;

[0037] The logistics management module includes a people counting module, a video acquisition module and a lighting management module.

[0038] The beneficial effects of the present invention are as follows: the present invention analyzes the air conditions inside the hospital by acquiring security parameter data at fixed locations and security-related data at movable locations, and uses a mobile sampling module to trace the source when potential risks are found. Finally, the corresponding early warning safety strategy is executed, thereby fully improving the reliability of hospital security. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 This is a schematic diagram of the module connections of the hospital security management system based on the Internet of Things in the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 As shown, the present invention is a hospital security management system based on the Internet of Things, comprising:

[0043] A fixed sampling module is arranged at a designated location on a designated floor and is used to obtain safety parameter data at the designated location;

[0044] A mobile sampling module, comprising a plurality of mobile sampling units arranged on a movable mechanism, for acquiring security-related data near the movable mechanism; wherein the security-related data has the same detection items as the security parameter data;

[0045] A communication unit, arranged on each floor, for acquiring data acquired by the fixed sampling module and the mobile sampling module;

[0046] a risk analysis center, connected to the communication unit, for performing risk warning analysis based on the security parameter data and the security-related data;

[0047] A security management center, connected to the risk analysis center, for performing source tracing analysis based on the security parameter data and the security-related data;

[0048] The early warning strategy center is connected to the risk analysis center and the security management center, and is used to determine the corresponding early warning security strategy according to the results of the risk early warning analysis and the results of the traceability analysis.

[0049] In this embodiment of the present invention, a total analysis of the air conditions inside the hospital can be performed based on the security parameter data obtained at fixed locations and the security-related data obtained in a movable manner. When potential risks are found, mobile sampling modules are used to trace the source, and finally corresponding early warning safety strategies are executed to fully enhance the reliability of hospital security.

[0050] As a further solution of the present invention: the fixed sampling module includes a plurality of tuyere sampling units and a plurality of fixed sampling units, the tuyere sampling units are used to obtain the tuyere position data, and the fixed sampling units are used to obtain the preset point position data;

[0051] The risk early warning analysis includes:

[0052] The tuyere position data and the preset point data are respectively compared with the corresponding specific safety thresholds, and if there is data exceeding the safety threshold, an early warning is issued;

[0053] Otherwise, a risk warning analysis is performed on the preset point data.

[0054] As a further solution of the present invention: the process of risk early warning analysis includes:

[0055] Calculate and obtain the risk matrix [G i Rs i ], compare any item in the risk matrix with the corresponding preset risk threshold:

[0056] If there are items that exceed the corresponding preset risk threshold, an early warning is issued;

[0057] in,

[0058]

[0059] Among them, G i is the risk factor of the i-th hazardous gas component item, Rs i is the coefficient of change of the i-th hazardous gas component item, μ is the adjustment coefficient, t is the current time point, Δt is the preset fixed period, For the period t-Δt~t Maximum value, A i (t) is the real-time monitoring concentration value of the i-th hazardous gas component item, f d (x) is the judgment function. When x≥0, fd (x) = x, when x < 0, f d (x) = 0, ρ i1 , i2 is the preset weight coefficient corresponding to the i-th hazardous gas component item.

[0060] As a further solution of the present invention: the risk early warning analysis also includes:

[0061] When the distance between the mobile sampling unit and the fixed sampling unit is less than a preset distance, the credibility analysis is started.

[0062] As a further solution of the present invention: the method for credibility analysis includes:

[0063] Calculate the concentration similarity coefficient s i and variation similarity coefficient sr i ;

[0064] Will s i and sr i The samples are compared with corresponding thresholds respectively, and when any one of the items is greater than the corresponding threshold, the sampling data of the mobile sampling unit is included in the traceability analysis;

[0065]

[0066] Where N is the number of preset points in the same space, j∈[1,N], Rs is the mean value of the i-th hazardous gas component item at all preset points. ij is the variation coefficient of the i-th harmful gas at the j-th preset point, Rs of the i-th hazardous gas component item at all preset points ij Mean.

[0067] As a further solution of the present invention: the traceability analysis includes:

[0068] instructing the mobile sampling unit to move;

[0069] The mobile sampling unit is kept moving in a direction causing the security-related data to continuously increase.

[0070] As a further solution of the present invention: it also includes a personnel management module and a logistics management module;

[0071] The personnel management module includes an attendance module;

[0072] The logistics management module includes a people counting module, a video acquisition module and a lighting management module.

[0073] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A hospital security management system based on the Internet of Things, characterized in that: include: A fixed sampling module is arranged at a designated location on a designated floor and is used to obtain safety parameter data at the designated location; A mobile sampling module, comprising a plurality of mobile sampling units arranged on a movable mechanism, for acquiring security-related data near the movable mechanism; wherein the security-related data has the same detection items as the security parameter data; A communication unit, arranged on each floor, for acquiring data acquired by the fixed sampling module and the mobile sampling module; a risk analysis center, connected to the communication unit, for performing risk warning analysis based on the security parameter data and the security-related data; A security management center, connected to the risk analysis center, for performing source tracing analysis based on the security parameter data and the security-related data; The early warning strategy center is connected to the risk analysis center and the security management center, and is used to determine the corresponding early warning security strategy according to the results of the risk early warning analysis and the results of the traceability analysis.

2. The hospital security management system based on the Internet of Things according to claim 1 is characterized in that: The fixed sampling module includes a plurality of tuyere sampling units and a plurality of fixed sampling units, the tuyere sampling units are used to obtain the tuyere position data, and the fixed sampling units are used to obtain the preset point position data; The risk early warning analysis includes: The tuyere position data and the preset point data are respectively compared with the corresponding specific safety thresholds, and if there is data exceeding the safety threshold, an early warning is issued; Otherwise, a risk warning analysis is performed on the preset point data.

3. The hospital security management system based on the Internet of Things according to claim 2 is characterized in that: The risk warning analysis process includes: Calculate and obtain the risk matrix [G i Rs i ], compare any item in the risk matrix with the corresponding preset risk threshold: If there are items that exceed the corresponding preset risk threshold, an early warning is issued; in, Among them, G i is the risk factor of the i-th hazardous gas component item, Rs i is the coefficient of change of the i-th hazardous gas component item, μ is the adjustment coefficient, t is the current time point, Δt is the preset fixed period, For the period t-Δt~t Maximum value, A i (t) is the real-time monitoring concentration value of the i-th hazardous gas component item, f d (x) is the judgment function. When x≥0, f d (x) = x, when x < 0, f d (x) = 0, ρ i1 , i2 is the preset weight coefficient corresponding to the i-th hazardous gas component item.

4. The hospital security management system based on the Internet of Things according to claim 2 is characterized in that: The risk early warning analysis also includes: When the distance between the mobile sampling unit and the fixed sampling unit is less than a preset distance, the credibility analysis is started.

5. The hospital security management system based on the Internet of Things according to claim 4 is characterized in that: The credibility analysis method comprises: Calculate the concentration similarity coefficient s i and variation similarity coefficient sr i ; Will s i and sr i The samples are compared with corresponding thresholds respectively, and when any one of the items is greater than the corresponding threshold, the sampling data of the mobile sampling unit is included in the traceability analysis; Where N is the number of preset points in the same space, j∈[1,N], Rs is the mean value of the i-th hazardous gas component item at all preset points. ij is the variation coefficient of the i-th harmful gas at the j-th preset point, Rs of the i-th hazardous gas component item at all preset points ij Mean.

6. The hospital security management system based on the Internet of Things according to claim 2 is characterized in that: The traceability analysis includes: instructing the mobile sampling unit to move; The mobile sampling unit is kept moving in a direction causing the security-related data to continuously increase.

7. The hospital security management system based on the Internet of Things according to claim 1 is characterized in that: It also includes personnel management module and logistics management module; The personnel management module includes an attendance module; The logistics management module includes a people counting module, a video acquisition module and a lighting management module.

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