CN115308902A - Intelligent fire fighting equipment facility inspection device and method based on MR mixed reality - Google Patents

Abstract

The invention discloses an intelligent fire-fighting equipment facility inspection device and method based on MR mixed reality, and solves the technical problems of low detection efficiency, multiple detection items, high detection difficulty and difficulty in training and detection result evaluation of a detection method in the conventional fire-fighting supervision. The invention comprises an MR mixed reality device and a cloud server which are connected with each other; the MR mixed reality device comprises an MR processing module, an image shooting module, a voice interaction module, an MR display screen, a face recognizer and a power supply assembly, wherein the image shooting module, the voice interaction module, the MR display screen, the face recognizer and the power supply assembly are respectively connected with the MR processing module; and a fire fighting equipment detection project database, a fire fighting equipment standard article database and a detector assessment database which are respectively connected with the MR processing module are arranged in the cloud server. The method is based on the MR mixed reality technology, realizes the operation guidance of the detection equipment with the MR mixed reality device as a terminal, and realizes the automatic matching and calling of the standard article database, the identification and acquisition of the detection result of the detection equipment and the automatic judgment of the detection result.

Description

Intelligent fire fighting equipment facility inspection device and method based on MR mixed reality

Technical Field

The invention belongs to the technical field of fire fighting equipment detection, and particularly relates to an intelligent fire fighting equipment detection device and method based on MR mixed reality.

Background

The fire monitoring and detecting is one of key contents of daily work of fire fighting, can find and modify the problems of fire hazard and fire fighting facilities in time, and has great significance for reducing the fire risk hazard, ensuring the normal operation of the fire fighting facilities during the fire and guaranteeing the life and property safety of people.

At present, the following practical problems are faced in fire control supervision and detection work:

firstly, the number of fire control supervision and detection personnel is not enough, the efficiency of the traditional detection mode is lower, and the actual working requirements are not met. Along with the development of the urbanization process in China, the number of buildings is increased rapidly, the number of supervision and detection units is large, the number of the equipped fire-fighting supervision and detection personnel is relatively fixed, the number of the supervision and detection units of some supervision and detection personnel exceeds 400, and the number is continuously increased. On the other hand, the standard provisions involved in the detection are many, the workload is large and the task is heavy according to the standard provisions one by one, and the fire control supervision detection mode needs to be improved urgently, so that the fire control supervision detection working efficiency is improved.

Secondly, the existing fire control supervision detection equipment has lower intelligent degree. Fire-fighting facilities or fire-fighting products involved in fire-fighting supervision and detection are dozens of, so that the variety and the number of fire-fighting supervision and detection equipment are various, each equipment has one set of operation flow, the operation steps are complicated and not uniform, the standard provisions required to be met by detection objects are also many, and detection personnel need to master the operation and the use of each equipment and also need to be familiar with the relevant standard provisions, so that the difficulty is high, the detection is time-consuming and labor-consuming, and the accuracy of results cannot be guaranteed.

Thirdly, fire control supervision and detection are not standard, and professional technical means are lacked. At present, the standard texts or detection key points required to be met by detection places and fire-fighting facilities lack targeted matching detection lists, the traditional fire-fighting supervision detection mode depends on the service level and the employment degree of detection personnel, the detection personnel can not completely detect required detection items due to the service level, leakage detection is caused, the work completion quality is low, and the fire-fighting potential safety hazard cannot be eliminated in time.

And fourthly, the fire monitoring and detecting personnel have uneven service levels and lack a systematic service training and evaluating platform. Part of fire monitoring and detecting personnel are not familiar with the service, the standard provisions or the detection key points required to be met by a detected object are not clear, the traditional training is limited by space and time, the targeted learning can not be carried out anytime and anywhere, meanwhile, the traditional training method is not intuitive, and a three-dimensional digital model-based fire monitoring and detecting service training and evaluation platform is lacked.

In summary, the traditional fire monitoring and detecting modes and equipment can not meet the requirements of real work, and in order to improve the working efficiency and detection scientificity and accuracy of fire monitoring and detecting personnel, the research and development of intelligent matching series equipment for fire monitoring and detecting are urgently needed, meanwhile, the research and development of a service training and examination evaluation platform for the fire monitoring and detecting personnel are needed, and the service level and the working efficiency of the fire monitoring and detecting personnel are improved.

Therefore, the invention provides the intelligent fire-fighting equipment facility inspection device and method based on the MR mixed reality, and solves the technical problems of low detection efficiency, multiple detection items, high detection difficulty, and difficulty in training and detection result evaluation of the detection method in the conventional fire-fighting supervision. The invention establishes a fire-fighting facility detection project database and a fire-fighting facility standard clause database classified by detection objects based on typical industrial and civil building fire-fighting and fire-fighting facility hidden danger identification methods and influence factors, and realizes a fire-fighting supervision detection MR mixed reality device which takes an MR mixed reality device as a detection equipment operation guide of a terminal, automatic matching and calling of the fire-fighting facility standard clause database, identification and acquisition of detection results of the detection equipment and automatic judgment of the detection results based on an MR mixed reality technology.

Disclosure of Invention

The technical problem to be solved by the invention is as follows: the intelligent fire-fighting equipment facility inspection device and method based on MR mixed reality solve the technical problems that the existing traditional fire-fighting supervision detection is low in efficiency, multiple in detection items and high in detection difficulty, and the detection method is difficult in training and detection result evaluation.

In order to realize the purpose, the technical scheme adopted by the invention is as follows:

an intelligent examination device for fire-fighting equipment facilities based on MR mixed reality comprises an MR mixed reality device and a cloud server which are connected with each other;

the MR mixed reality device comprises an MR processing module, an image shooting module, a voice interaction module, an MR display screen, a face recognizer and a power supply assembly, wherein the image shooting module, the voice interaction module, the MR display screen, the face recognizer and the power supply assembly are respectively connected with the MR processing module;

a fire fighting facility detection project database, a fire fighting facility standard article database and a detector examination and evaluation database which are respectively connected with the MR processing module are arranged in the cloud server.

Further, the MR mixed reality device is connected with the cloud server through NB-IoT.

Further, the MR hybrid implementation device is a wearable MR glasses or a handheld MR display device.

Furthermore, the wearable MR glasses comprise a wearable shell, a convex lens and a wearable binding band which are arranged on the inner side surface of the wearable shell, and a wearable display screen which is arranged in the wearable shell and positioned on the inner side of the convex lens, wherein the MR processing module, the face recognizer and the power supply assembly are positioned in the wearable shell, and the image taking module and the voice interaction module are arranged on the outer side surface of the wearable shell;

hand-held type MR display device includes the hand-held type casing, locates the flexible seat of hand-held type casing bottom and locates the hand-held type display screen of hand-held type casing medial surface, inside MR processing module, face identification ware and power supply module located the hand-held type casing, hand-held type casing lateral surface and side were located respectively to the module is taken in to the image and pronunciation interactive module.

Further, the MR display screen is an OLED display or a liquid crystal display.

Further, the MR processing module is a TegraK1 microprocessor.

Further, the image shooting module is a high-definition camera.

Further, the voice interaction module includes a speaker configured for voice guidance, and a microphone for voice input.

A use method of an intelligent examination device for fire fighting equipment facilities based on MR mixed reality comprises the following detection operation steps:

s1, establishing a fire protection facility detection project database classified by inspection objects in a cloud server according to fire protection and fire protection facility detection operations of industrial and civil buildings, wherein the fire protection facility detection project database comprises safety detection projects of all existing fire protection facilities and standard operation processes of all the safety detection projects;

s2, establishing a fire-fighting facility standard regulation database in the cloud server according to industrial and civil building fire prevention and fire-fighting facility supervision and inspection standards, wherein the fire-fighting facility standard regulation database comprises qualified standard parameters of all existing fire-fighting facility safety detection projects;

s3, establishing a detector assessment database in the cloud server, wherein the detector assessment database is used for recording operation flows of detectors in each fire fighting equipment detection and detection results of the detected fire fighting equipment after the fire fighting equipment is detected;

s4, the image shooting module and the face recognizer respectively input and recognize information of the detection personnel, and the detection personnel assessment database is associated with the information;

s5, inputting an on-site fire-fighting facility image by an image shooting module, leading out corresponding inspection operation from a fire-fighting facility inspection item database in the cloud server after processing and recognition by the MR processing module, feeding back the inspection operation to the MR processing module, and finally displaying the combination of the real fire-fighting facility image and the virtual inspection operation on an MR display screen for reference and inspection by an inspector;

s6, the image shooting module continuously records the dynamic operation process of the detection personnel and feeds the dynamic operation process back to the MR processing module in time, and the detection personnel can realize voice guidance and interactive control through the voice interaction module;

and S7, after all detection is finished, the detection personnel finish the detection operation through the voice interaction module.

Further, the method comprises the following steps of evaluating and recording the results:

s (1) the image shooting module inputs a dynamic operation process, and corresponding standard provisions are exported from a fire-fighting facility standard provisions database in the cloud server and fed back to the MR processing module after the dynamic operation process is processed and identified by the MR processing module;

s (2), the MR processing module compares the operation key points and the detection results in the corresponding dynamic operation process with the operation item quantity and the operation key points in the standard provisions and the reference standard to obtain the qualified or unqualified evaluation result of the fire-fighting equipment;

and S (3) the MR processing module transmits the evaluation result to the cloud server and timely imports the detection information and the detection result into a detection personnel assessment and evaluation database of corresponding detection personnel.

Compared with the prior art, the invention has the following beneficial effects:

the system has a simple structure, a scientific and reasonable design and convenient use, provides the MR mixed reality device combining reality and virtual, establishes the fire-fighting equipment detection project database classified by detection objects through the cloud server, realizes the operation guidance of the detection equipment taking the MR mixed reality device as a terminal, and improves the working efficiency and the detection scientificity and accuracy of fire-fighting supervision and inspection personnel; in addition, the fire-fighting facility standard regulation database is combined to identify and obtain the inspection result, the inspection result is automatically judged, the relevant standard of the inspection result is taken as the judgment reference, the low-quality operations such as incomplete inspection, leakage inspection and the like are avoided, and the inspection process and the result are also led into the corresponding inspector examination and evaluation database.

The MR mixed reality device comprises the MR mixed reality device and a cloud server connected with the MR mixed reality device, wherein the connection mode is NB-IoT connection. The MR mixed reality device comprises components for controlling, transmitting, interacting, identifying, capturing and other functions, a fire fighting equipment detection project database, a fire fighting equipment standard article database and a detector examination and evaluation database are arranged in the cloud server, wherein the MR mixed reality device mainly comprises four module components including a face recognizer, an image capturing module, an MR processing module and an MR display screen, the face recognizer and the image capturing module respectively identify and capture a real scene, the MR processing module acquires corresponding fire fighting equipment detection project operation of the cloud server after processing, and finally the MR display screen is used for realizing operation guidance combining reality and virtual, so that the tedious and massive training operation of a detector is reduced; the whole detection process and result obtain detection operation and result images to be evaluated through the image shooting module, the MR processing module derives the corresponding standard provisions of the cloud server, the qualified or unqualified detection and evaluation results of the fire-fighting equipment are judged, and the detection information and the results are led into the corresponding personnel assessment and evaluation database of the cloud server, so that the service management and the evaluation of the personnel are facilitated.

Drawings

FIG. 1 is a schematic view of the structure of the present invention.

FIG. 2 is a schematic view of the detection operation of the present invention.

FIG. 3 is a diagram illustrating the evaluation and recording of results according to the present invention.

Fig. 4 is a first external structure view of the wearable MR glasses.

Fig. 5 is an external structure view of wearable MR glasses.

Fig. 6 is an internal structure view of the wearable MR glasses.

Fig. 7 is a first external structure diagram of the handheld MR display device.

Fig. 8 is a second external structure diagram of the handheld MR display device.

Fig. 9 is an internal structure diagram of the handheld MR display device.

Wherein, the names corresponding to the reference numbers are:

the system comprises a 1-MR mixed reality device, a 2-cloud server, 3-wearable MR glasses, a 4-handheld MR display device, a 11-MR processing module, a 12-image shooting module, a 13-voice interaction module, a 14-MR display screen, a 15-face recognizer, a 16-power supply component, a 21-fire-fighting equipment detection project database, a 22-fire-fighting equipment specification clause database, a 23-detector assessment database, a 31-wearable shell, a 32-convex lens, a 33-wearable bandage, a 34-wearable display screen, a 41-handheld shell, a 42-handheld expansion seat and a 43-handheld display screen.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and thus, it should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; of course, mechanical connection and electrical connection are also possible; alternatively, they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

As shown in fig. 1-9, the intelligent examination device and method for fire fighting equipment facilities based on MR mixed reality provided by the invention have the advantages of simple structure, scientific and reasonable design and convenient use, provide a real and virtual MR mixed reality device, establish a fire fighting equipment detection project database 21 classified by detection objects through a cloud server 2, realize detection equipment operation guidance by taking the MR mixed reality device 1 as a terminal, and improve the working efficiency and examination scientificity and accuracy of fire fighting supervision and examination personnel; in addition, the fire-fighting facility standard regulation database 22 is combined to identify and obtain the inspection result and automatically judge the inspection result, so that the detection result has relevant standards as judgment references, low-quality operations such as incomplete inspection, leakage detection and the like are avoided, and the inspection process and the result are also led into the corresponding inspector assessment database 23 every time.

The system comprises an MR mixed reality device 1 and a cloud server 2 which are connected with each other, wherein the MR mixed reality device comprises various modules and components for controlling, transmitting, interacting, identifying, ingesting and the like, and a fire-fighting facility detection item database 21, a fire-fighting facility specification and regulation database 22 and a detector assessment and evaluation database 23 are arranged in the cloud server 2. The MR mixed reality device 1 mainly comprises a face recognizer 15, an image shooting module 12, an MR processing module 11 and an MR display screen 14, the face recognizer 15 and the image shooting module 12 respectively recognize and shoot real scenes, operation items and processes in a corresponding fire fighting facility detection item database 21 of the cloud server 2 are obtained after the real scenes are processed by the MR processing module 11, and finally operation guidance combining reality and virtual is achieved through the MR display screen 14, so that tedious and massive training operations of detection personnel are reduced; the whole detection process and the detection result are obtained through the image shooting module 15, the image of the detection operation and the result to be evaluated is obtained, the MR processing module 11 derives the standard rule database 22 of the fire-fighting facility corresponding to the cloud server 2, the qualified or unqualified detection evaluation result of the fire-fighting facility is judged, and the detection information and the detection result are imported into the assessment evaluation database 23 of the corresponding detector of the cloud server, so that the personnel service management and the evaluation are facilitated.

The MR mixed reality device 1 and the cloud server 2 are connected in an NB-IoT mode, and the NB-IoT has the advantages of being wide in coverage, many in connection, low in speed, low in cost, low in power consumption, excellent in architecture and the like; in addition, in the big data application, the NB-IoT connection can directly upload the collected data to the cloud server, so that the fire fighting equipment detection project database 21, the fire fighting equipment specification database 22, and the inspector assessment and evaluation database 23 of the cloud server of the present invention can realize timely data transmission and update.

The MR mixed reality device 1 of the invention is a wearable MR glasses 3 or a handheld MR display device 4. The wearable glasses structure is a common reality virtual mixing device in the market, the structure is light, the wearing mode of the wearable glasses structure is convenient to detect and operate, the wearable MR glasses 3 comprise a wearable shell 31, a convex lens 32 and a wearing bandage 33 which are arranged on the inner side surface of the wearable shell 31, and a wearable display screen 34 which is arranged in the wearable shell 31 and is positioned on the inner side of the convex lens 32, wherein the wearable display screen 34 is distributed far away from eyes of a user, and the convex lens 32 is distributed close to the eyes of the user; the MR processing module 11, the face recognizer 15 and the power supply module 16 are positioned inside the wearable shell 31, and the image shooting module 12 and the voice interaction module 13 are arranged on the outer side surface of the wearable shell 31. The handheld MR display device 4 comprises a handheld casing 41, a handheld telescopic seat 42 arranged at the bottom of the handheld casing 41, and a handheld display screen 43 arranged on the inner side surface of the handheld casing 41, the MR processing module 11, the face recognizer 15 and the power supply module 16 are arranged inside the handheld casing 41, and the image taking module 12 and the voice interaction module 13 are respectively arranged on the outer side surface and the side surface of the handheld casing 41.

The MR mixed reality device 1 of the invention comprises an MR processing module 11, and an image shooting module 12, a voice interaction module 13, an MR display screen 14, a face recognizer 15 and a power supply component 16 which are connected with the MR processing module 11. The MR processing module 11 is a TegraK1 microprocessor which is used for processing the information shot by the image shooting module 12 and controlling the MR mixed reality device 1; the image shooting module 12 is a high-definition camera, a loudspeaker for voice guidance and a microphone for voice input are arranged in the voice interaction module 13, and the MR display screen 14 is an OLED display or a liquid crystal display; the power supply module 16 is preferably at least one lithium polymer battery that powers the MR processing module 11, the image capture module 12, the voice interaction module 13, the MR display 14, and the face recognizer 15.

The cloud server 2 is internally provided with a fire-fighting equipment detection project database 21, a fire-fighting equipment regulation database 22 and a detector assessment and evaluation database 23 which are respectively connected with the MR processing module 11, wherein the fire-fighting equipment detection project database 21 and the fire-fighting equipment regulation database 22 are updated in real time according to relevant laws and regulations and industry standards.

The detection operation guidance and result evaluation record of the invention specifically operate as follows:

a detection operation step:

s1, establishing a fire fighting equipment detection project database 21: establishing a fire protection facility detection item database 21 classified by inspection objects in the cloud server 2 according to fire protection and fire protection facility detection operations of industrial and civil buildings, wherein the fire protection facility detection item database 21 comprises safety detection items of all existing fire protection facilities and standard operation processes of all the safety detection items;

s2, establishing a fire-fighting facility standard provision database 22: establishing a fire-fighting facility specification regulation database 22 in the cloud server 2 according to industrial and civil building fire prevention and fire-fighting facility supervision and inspection standards, wherein the fire-fighting facility specification regulation database 22 comprises qualified standard parameters of all existing fire-fighting facility safety detection items;

s3, a detector assessment database 23 is established in the cloud server 2, and the detector assessment database 23 is used for recording operation flows of detectors in fire fighting equipment detection each time and detection results of detected fire fighting equipment after the fire fighting equipment is detected:

s4, associating the face recognition and the detector assessment database 23: the image shooting module 12 and the face recognizer 15 input and recognize information of detection personnel, and are associated with a detection personnel assessment and evaluation database 23;

s5, fire fighting equipment identification and corresponding detection item derivation: the image shooting module 12 records the on-site fire-fighting equipment image, the corresponding inspection operation is derived from the fire-fighting equipment inspection item database 21 in the cloud server 2 and fed back to the MR processing module 11 after the image is processed and identified by the MR processing module 11, and finally the real fire-fighting equipment image and the virtual inspection operation are combined and displayed on the MR display screen 14;

s6, guiding the real virtual mixing operation: the image shooting module 12 continuously records the dynamic operation process of the detection personnel and feeds the dynamic operation process back to the MR processing module 11 in time, and the detection personnel can realize voice guidance and interactive control through the voice interaction module 13;

s7, detection is completed: after all the detection is finished, the detection personnel finish the detection operation through the voice interaction module 13.

And (3) evaluating and recording results:

s (1), corresponding detection standard provision derivation: the image shooting module 12 records a dynamic operation process, and corresponding standard provisions are derived from the fire-fighting equipment standard provisions database 22 in the cloud server 2 and fed back to the MR processing module 11 after the dynamic operation process is processed and identified by the MR processing module 11;

s (2), evaluation of detection results: the MR processing module 11 compares the operation key points and the results in the corresponding dynamic operation process with the operation item quantity, the operation key points and the reference standard in the standard provision to obtain the qualified or unqualified evaluation result of the fire-fighting equipment; if the evaluation result is unqualified, the fire-fighting equipment needs to be repaired or replaced in time;

s (3), detection information entry: the MR processing module 11 transmits the evaluation result to the cloud server 2, and timely guides the detection information and the detection result into the detector assessment and evaluation database 23 of the corresponding detector.

The cloud server 2, the face recognizer 15, the OLED display, the liquid crystal display, the high-definition camera, the loudspeaker and the microphone are all devices in the prior art, and can be purchased and used directly in the market, and the structures and the control principle of the devices are all the prior art, so the structures and the control principle of the cloud server 2, the face recognizer 15, the OLED display, the liquid crystal display, the high-definition camera, the loudspeaker and the microphone are not repeated herein.

Finally, it should be noted that: the above embodiments are only preferred embodiments of the present invention to illustrate the technical solutions of the present invention, but not to limit the technical solutions, and certainly not to limit the patent scope of the present invention; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention; that is, the technical problems to be solved by the present invention, which are not substantially changed or supplemented by the spirit and the concept of the main body of the present invention, are still consistent with the present invention and shall be included in the scope of the present invention; in addition, the technical scheme of the invention is directly or indirectly applied to other related technical fields, and the technical scheme of the invention is included in the patent protection scope of the invention.

Claims (10)

1. An intelligent fire fighting equipment facility inspection device based on MR mixed reality is characterized by comprising an MR mixed reality device (1) and a cloud server (2) which are connected with each other;

the MR mixed reality device (1) comprises an MR processing module (11), an image shooting module (12), a voice interaction module (13), an MR display screen (14), a face recognizer (15) and a power supply assembly (16), wherein the image shooting module (12), the voice interaction module (13), the MR display screen (14) and the face recognizer are respectively connected with the MR processing module (11);

a fire-fighting facility detection project database (21), a fire-fighting facility standard article database (22) and a tester assessment and evaluation database (23) which are respectively connected with the MR processing module (11) are arranged in the cloud server (2).

2. Fire fighting equipment facility intelligent inspection device based on MR mixed reality according to claim 1, characterized in that MR mixed reality device (1) is connected with cloud server (2) through NB-IoT.

3. A MR mixed reality based fire equipment facility intelligent examination apparatus according to claim 1, characterized in that the MR mixed reality apparatus (1) is a wearable MR glasses (3) or a handheld MR display apparatus (4).

4. The intelligent examination device for the fire fighting equipment facility based on MR mixed reality is characterized in that the wearable MR glasses (3) comprise a wearable shell (31), a convex lens (32) and a wearable strap (33) which are arranged on the inner side surface of the wearable shell (31), and a wearable display screen (34) which is arranged in the wearable shell (31) and is positioned on the inner side of the convex lens (32), the MR processing module (11), the face recognizer (15) and the power supply component (16) are positioned in the wearable shell (31), and the image taking module (12) and the voice interaction module (13) are arranged on the outer side surface of the wearable shell (31);

hand-held type MR display device (4) are including hand-held type casing (41), locate hand-held type telescopic base (42) of hand-held type casing (41) bottom, and locate hand-held type display screen (43) of hand-held type casing (41) medial surface, MR processing module (11), inside hand-held type casing (41) were located in face identification ware (15) and power supply module (16), hand-held type casing (41) lateral surface and side are located respectively in image capture module (12) and voice interaction module (13).

5. A fire fighting equipment facility intelligent inspection device based on MR mixed reality according to claim 1, characterized in that the MR display screen (14) is an OLED display or a liquid crystal display.

6. A MR mixed reality based fire fighting equipment facility intelligent inspection device according to claim 1, characterized in that the MR processing module (11) is a tegrk 1 microprocessor.

7. A fire fighting equipment facility intelligent examination apparatus based on MR mixed reality as claimed in claim 1, characterized in that the image taking module (12) is a high definition camera.

8. A fire fighting equipment facility intelligent inspection apparatus based on MR mixed reality as claimed in claim 1, characterized in that the voice interaction module (13) includes a speaker provided for voice guidance and a microphone for voice input.

9. The method for intelligent examination device of MR mixed reality-based fire fighting equipment facilities as claimed in any one of claims 1-8, characterized by comprising the following detection operation steps:

s1, establishing a fire protection facility detection project database classified by inspection objects in a cloud server according to fire protection and fire protection facility detection operations of industrial and civil buildings, wherein the fire protection facility detection project database comprises safety detection projects of all existing fire protection facilities and standard operation processes of all the safety detection projects;

s2, establishing a fire-fighting facility standard regulation database in the cloud server according to industrial and civil building fire prevention and fire-fighting facility supervision and inspection standards, wherein the fire-fighting facility standard regulation database comprises qualified standard parameters of all existing fire-fighting facility safety detection projects;

s3, establishing a tester evaluation and assessment database in the cloud server, wherein the tester evaluation and assessment database is used for recording the operation process of each time the tester tests the fire-fighting equipment and the detection result of the tested fire-fighting equipment after the fire-fighting equipment is tested;

s4, the image shooting module and the face recognizer respectively input and recognize information of the detection personnel, and the detection personnel assessment database is associated with the information;

s5, inputting an on-site fire-fighting facility image by an image shooting module, leading out corresponding inspection operation from a fire-fighting facility inspection item database in the cloud server after processing and recognition by the MR processing module, feeding back the inspection operation to the MR processing module, and finally displaying the combination of the real fire-fighting facility image and the virtual inspection operation on an MR display screen for reference and inspection by an inspector;

s6, the image shooting module continuously records the dynamic operation process of the detection personnel and feeds the dynamic operation process back to the MR processing module in time, and the detection personnel can realize voice guidance and interactive control through the voice interaction module;

and S7, after all detection is finished, the detection personnel finish the detection operation through the voice interaction module.

10. The method according to claim 9, characterized in that it comprises the following evaluation and recording steps of the results:

s (1) the image shooting module inputs a dynamic operation process, and corresponding standard provisions are exported from a fire-fighting facility standard provisions database in the cloud server and fed back to the MR processing module after the dynamic operation process is processed and identified by the MR processing module;

s (2), the MR processing module compares the operation key points and the detection results in the corresponding dynamic operation process with the operation item quantity and the operation key points in the standard provisions and the reference standard to obtain the qualified or unqualified evaluation result of the fire-fighting equipment;

and S (3) the MR processing module transmits the evaluation result to the cloud server and timely imports the detection information and the detection result into a detection personnel assessment and evaluation database of corresponding detection personnel.

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