A portable mobile video monitoring device

Abstract

The application discloses a portable mobile video monitoring device, relates to the technical field of video monitoring, and aims to solve the problems that the existing video monitoring device has limited application scene, has no power supply or data transmission channel on site, and cannot be flexibly transmitted according to environment and permission conditions, thereby causing the video transmission to have limitations; the device comprises a monitoring center and a processing module; the video packaging time is divided into different time periods by analyzing the danger coefficient of a temporary working area where a spherical camera is located; meanwhile, the processing capacity ranking is obtained by analyzing a processing terminal; the data packet obtained by the spherical camera corresponding to the temporary working area with a high danger coefficient is taken to a shorter packaging time period and is sent to the processing terminal with a high processing capacity ranking; the hierarchical management of the monitoring video is realized; the vibration of a video data packet analysis device and the video definition are analyzed by the processing terminal; the corresponding dust removal operation is triggered or the device exception and device maintenance signals are generated; the dust is effectively treated, and energy saving and consumption reduction are achieved.

Description

Technical Field

[0001] This invention relates to the field of video surveillance technology, specifically to a portable mobile video monitoring device. Background Technology

[0002] Video surveillance systems are widely used in underground coal mines, but they are not applied in scenarios where video surveillance is particularly needed, such as emergency response, temporary drilling sites, and equipment emergency repairs. The main reason for this is the randomness of incident locations and the lack of local power supply or data transmission channels.

[0003] Currently, existing video surveillance devices suffer from limitations in application scenarios, lack of local power supply or data transmission channels, and inability to flexibly transmit data according to environmental and permissible conditions, resulting in limitations in video transmission.

[0004] To address the aforementioned shortcomings, a portable mobile video surveillance device is provided. Summary of the Invention

[0005] The purpose of this invention is to solve the problems of existing video surveillance devices, such as limited application scenarios, lack of local power supply or data transmission channels, and inability to flexibly transmit according to environmental and permissible conditions, resulting in limitations in video transmission. Therefore, a portable mobile video surveillance device is proposed.

[0006] The objective of this invention can be achieved through the following technical solution: a portable mobile video surveillance device, comprising a foldable bracket, a spherical camera mounted on the foldable bracket, and an intrinsically safe power supply box connected to the spherical camera; the spherical camera is used for recording and storing audio and video in underground coal mines and transmitting the recordings to a monitoring center via an Ethernet ring network or the Internet;

[0007] The dome camera is equipped with a processing module, which is connected to the monitoring center. The monitoring center numbers and marks all the dome cameras as "m". The processing module includes a transmission and analysis unit and a video distribution unit.

[0008] The video allocation unit is used to analyze the processing distance, processing terminal type, processing times and processing time to rank the processing capabilities of the processing terminals; at the same time, it ranks the monitoring video data packets to be processed according to the monitoring video packaging time instruction and pairs the two in a one-to-one correspondence.

[0009] The transmission analysis unit is used to analyze and process mechanical noise and electromagnetic interference values ​​to obtain environmental interference coefficients, and accordingly marks the spherical camera as a high interference zone monitoring area, a medium interference zone monitoring area, and a low interference zone monitoring area, triggering 5G transmission video data packets, 4G transmission video data packets, and Wi-Fi transmission video data packets respectively.

[0010] When 5G transmission is triggered, the video distribution unit transmits the corresponding video data packets to the processing terminal via 5G transmission.

[0011] The monitoring center includes a data acquisition terminal and a processing terminal; the processing terminal includes a video data packet analysis unit and an anomaly feedback unit.

[0012] The data acquisition terminal is used to collect information on temporary work areas, processing distances, and processing terminal types, and then send the processing distances and processing terminal types to the processing module for storage.

[0013] The video data packet analysis unit is used to retrieve information about the temporary work area, analyze it to obtain the danger coefficient of the area, and obtain the monitoring video packaging time instruction based on the danger coefficient, and send it to the processing module; at the same time, it retrieves the acoustic waveform of the vibration value of the vibration generation equipment in the video data packet, and generates an abnormal equipment signal based on it, and sends the abnormal equipment signal to the spherical camera for voice broadcast;

[0014] The anomaly feedback unit is used to receive equipment anomaly signals and retrieve the corresponding node time and derailment time of the equipment anomaly signals, analyze and process them to generate equipment maintenance signals, and display and explain them.

[0015] In a preferred embodiment of the present invention, the temporary working area information includes danger distance, coal seam depth, gas content, mechanical noise value and electromagnetic interference value.

[0016] In a preferred embodiment of the present invention, the video data packet analysis unit sets the video packetization time of the spherical camera according to the temporary working area, specifically as follows:

[0017] Obtain the distance between the location of the spherical camera and the danger zone;

[0018] Obtain the coal seam depth and gas content of the temporary work area;

[0019] The risk coefficient is obtained by a preset model, with preset intervals W1, W2 and W3. When the risk coefficient belongs to interval W1, the monitoring video packaging time K1 instruction is generated. When the risk coefficient belongs to interval W2, the monitoring video packaging time K2 instruction is generated. When the risk coefficient belongs to interval W3, the monitoring video packaging time K3 instruction is generated, where W1>W2>W3 and K1<K2<K3.

[0020] The monitoring video packaging time K1 instruction, monitoring video packaging time K2 instruction, and monitoring video packaging time K3 instruction are generated and sent to the processing module.

[0021] In a preferred embodiment of the present invention, the processing module is used to receive and process the monitoring video packaging time instruction, specifically as follows:

[0022] When the monitoring video packaging time K1 instruction is received, the dome camera is compressed and packaged into a K1 video data packet at time K1; when the monitoring video packaging time K2 instruction is received, the dome camera is compressed and packaged into a K2 video data packet at time K2; when the monitoring video packaging time K3 instruction is received, the dome camera is compressed and packaged into a K3 video data packet at time K3.

[0023] In a preferred embodiment of the present invention, the video allocation unit performs an allocation operation on video data packets, specifically as follows:

[0024] Obtain the distance between the spherical camera and the monitoring center;

[0025] The moment when the video data packet received by the processing terminal of the monitoring center is obtained is marked as the receiving moment. After analysis and processing, the moment when there is no abnormality or the equipment is abnormal is marked as the sub-point moment. The difference between the sub-point moment and the receiving moment is calculated to obtain the processing time of the processing terminal.

[0026] Obtain the number of times the processing terminal in the monitoring center processes data;

[0027] Obtain the processing terminal type of the monitoring center. Pre-set a processing terminal type value corresponding to the type of each terminal. Match the processing terminal type with all processing terminals to obtain the processing terminal type value.

[0028] The processing values ​​are obtained through a preset model. The processing terminals in the monitoring center are then sorted in descending order according to the size of the processing values ​​to obtain a ranking of the processing capabilities of the processing terminals.

[0029] The number of spherical cameras and their corresponding numbers for video data packets packaged in K1, K2, or K3 are retrieved respectively. The spherical cameras packaged in K1, K2, and K3 are sorted according to the monitoring video. The spherical cameras packaged in K1, K2, or K3 are sorted in descending order by their numbers to obtain the ranking of the monitoring video data packets to be processed.

[0030] The ranking of the surveillance video data packets to be processed is matched one-to-one with the ranking of the processing capabilities of the processing terminals. Specifically, the video data packet ranked first among the surveillance video data packets to be processed is transmitted to the processing terminal ranked first in processing capability.

[0031] In a preferred embodiment of the present invention, the transmission analysis unit classifies and transmits video data packets acquired by the spherical cameras in different areas, specifically as follows:

[0032] Obtain the mechanical noise value of the temporary working area where the spherical camera is located. Preset noise intervals Db1, Db2 and Db3. Each interval corresponds to a noise interference coefficient. Match the mechanical noise value with all noise intervals to obtain the corresponding noise interference coefficient nofmi, where i = 1, 2, 3. When i = 1, it represents the noise interference coefficient nofm1 corresponding to noise interval Db1. When i = 2, it represents the noise interference coefficient nof2 corresponding to noise interval Db2. When i = 3, it represents the noise interference coefficient nofm3 corresponding to noise interval Db3.

[0033] Obtain the electromagnetic interference value of the temporary working area where the spherical camera is located;

[0034] Preset intervals O1, O2, and O3: when the electromagnetic interference value is within interval O1, the area is marked as a high-intensity electromagnetic interference area, and the filter is triggered to turn on, eliminating interference coupling and suppressing the interference source; when the electromagnetic interference value is within interval O2, the area is marked as a medium-intensity electromagnetic interference area, and when the electromagnetic interference value is within interval O3, the area is marked as a low-intensity electromagnetic interference area.

[0035] Different electromagnetic interference coefficients elemj are preset for electromagnetic interference zones of different intensities, where j = 1, 2, 3. When j = 1, elem1 represents the electromagnetic interference coefficient of the high-intensity electromagnetic interference zone pair; when j = 2, elem2 represents the electromagnetic interference coefficient of the medium-intensity electromagnetic interference zone pair; and when j = 3, elem3 represents the electromagnetic interference coefficient of the low-intensity electromagnetic interference zone pair.

[0036] The electromagnetic interference value is matched with all intervals and the corresponding electromagnetic interference coefficient to obtain the corresponding electromagnetic interference coefficient;

[0037] The environmental interference coefficient is obtained by a preset model, with preset intervals I1, I2, and I3. When the environmental interference coefficient belongs to interval I1, the dome camera is marked as a high-interference area and 5G video data packets are triggered. When the environmental interference coefficient belongs to interval I2, the dome camera is marked as a medium-interference area and 4G video data packets are triggered. When the environmental interference coefficient belongs to interval I3, the dome camera is marked as a low-interference area and Wi-Fi video data packets are triggered.

[0038] In a preferred embodiment of the present invention, the monitoring center analyzes the video data packets uploaded by the processing module, specifically as follows:

[0039] Retrieve the acoustic waveform of the vibration value of the vibration generation device from the video data packet, calculate the difference between the peak and trough within the time interval, and mark it as the amplitude. Plot a line graph of amplitude versus time. Preset amplitude intervals S1 and S2. When the amplitude is within the amplitude interval S1, mark the moment as a normal working moment. When the amplitude is within the amplitude interval S2, mark the moment as an abnormal working moment. Mark the first normal moment after the abnormal moment as the node moment. Mark the first abnormal moment after the normal moment as the derailment moment.

[0040] The amplitudes corresponding to the normal working time are summed and averaged to obtain the normal working amplitude, which is then labeled as nf.

[0041] A preset constant q is used to mark the interval [nf-q, nf+q] as the normal working interval. The amplitude corresponding to the marked abnormal working time is compared with the normal working interval [nf-q, nf+q]. When the amplitude corresponding to the marked abnormal working time is not within the normal working interval [nf-q, nf+q], an abnormal equipment vibration signal is generated.

[0042] The monitoring center sends the generated device anomalies to the processing module;

[0043] When the processing module receives an abnormal signal from the equipment, it broadcasts the signal through the voice announcer inside the spherical camera to remind on-site personnel.

[0044] In a preferred embodiment of the present invention, the video data packet unit performs the following analysis and processing steps for video clarity:

[0045] The resolution of the video data packet is obtained, with preset intervals X1, X2, and X3. When the resolution is within interval X3, the area where the spherical camera is located is marked as a low-dust area, and ventilation and dust removal operations are triggered.

[0046] When the resolution is within the range X2, the area where the spherical camera is located is marked as a medium dust area, and a spray dust suppression operation is triggered.

[0047] When the resolution is within the range X1, the area where the spherical camera is located is marked as a high-dust area, and the spray dust suppression and dust collector dust removal operations are triggered.

[0048] In a preferred embodiment of the present invention, the monitoring center provides feedback on downhole equipment anomalies, specifically as follows:

[0049] The node time and derailment time corresponding to the abnormal equipment signal are retrieved separately, and the difference between them is calculated to obtain the abnormal time. The total abnormal time of the equipment is then accumulated.

[0050] The system retrieves the number of equipment malfunctions, divides the total equipment malfunction time (ate) by the number of malfunctions (nut) to obtain the average time per malfunction. When the equipment malfunction time exceeds the preset time, an equipment maintenance signal is generated and displayed.

[0051] Compared with the prior art, the beneficial effects of the present invention are:

[0052] 1. By installing mobile video surveillance devices at temporary work sites, the video can be transmitted to the mine dispatch room or recorded and stored on-site, which facilitates the supervision of violations during the operation process and reduces the possibility of major production accidents.

[0053] 2. By analyzing the danger level of the temporary work area where the spherical camera is located, the video packaging time is divided into different time periods. At the same time, by analyzing the processing terminals to obtain the processing capacity ranking, the data packets obtained by the spherical camera corresponding to the temporary work area with a high danger level are packaged in a shorter time period and sent to the processing terminal with the higher processing capacity ranking. This realizes the selection of the more optimal processing terminal according to different levels of danger, thereby improving the processing efficiency of video data packets.

[0054] 3. Using mobile video surveillance devices installed in temporary work areas, video data packets are sent to the monitoring center for storage and analysis. Analysis of equipment vibrations identifies abnormal equipment signals, which are then sent to the processing module, along with voice alerts to on-site personnel. This allows for feedback on equipment maintenance needs based on the frequency and duration of abnormal equipment malfunctions, reducing equipment failure rates and improving operational efficiency. Furthermore, video clarity is analyzed, and different dust control measures are triggered based on the clarity level, effectively managing dust and achieving energy conservation and consumption reduction. Attached Figure Description

[0055] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0056] Figure 1 This is a schematic diagram of the portable mobile video monitoring device of the present invention.

[0057] Figure 2 This is the overall system block diagram of the present invention. Detailed Implementation

[0058] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] Please see Figure 1 As shown, a portable mobile video surveillance device includes a foldable bracket 2, a dome camera 1 mounted on the foldable bracket 2, and an intrinsically safe power supply box 3 connected to the dome camera; the processing module is connected to the monitoring center; the dome camera is used to record audio and video in underground coal mines, store the recordings, and transmit them to the monitoring center via an Ethernet ring network or the Internet;

[0060] The spherical camera boasts 400W pixels, an infrared illuminator, and a Wi-Fi interface, enabling normal operation even in complete darkness. It features audio and video capabilities, two-way communication, and can quickly connect to an underground Ethernet network to control zoom, allowing for image zooming in and out. The camera includes a 64-256GB memory card, enabling on-site recording even without a network connection; stored recordings can be remotely downloaded after connecting. It also supports communication and data transmission in Wi-Fi / 4G / 5G network environments. The dedicated bracket's height is adjustable between 1.5 and 3.5 meters, suitable for various deployment scenarios. The intrinsically safe, mine-grade, sealed power supply box provides over 8 hours of continuous operation, ensuring normal monitoring.

[0061] Please see Figure 2 As shown, the spherical camera 1 is equipped with a processing module, which is connected to the monitoring center. The monitoring center numbers and marks all the spherical cameras 1 as m, where m is a positive integer greater than or equal to zero. The processing module includes a transmission analysis unit and a video distribution unit. The monitoring center includes a data acquisition terminal and a processing terminal. The processing terminal includes a video data packet analysis unit and an anomaly feedback unit.

[0062] The data acquisition terminal collects data on the temporary work area for the day. The video data packet analysis unit sets the video packetization time of the spherical camera 1 according to the temporary work area, specifically as follows:

[0063] Obtain the distance between the temporary working area where the spherical camera 1 is located and the danger zone, and mark it as the danger distance Wem;

[0064] Obtain the coal seam depth and gas content of the temporary working area, and label them as h and Wa, respectively.

[0065] By pre-set model The risk coefficient Wex is obtained, where e1, e2 and e3 are the weight factor coefficients of coal seam depth, coal seam gas content and risk distance, respectively, and e2>e1>e3>0, and λ is the correction factor coefficient.

[0066] The preset intervals are W1, W2, and W3. When the risk factor Wex belongs to interval W1, the monitoring video packaging time K1 instruction is generated. When the risk factor Wex belongs to interval W2, the monitoring video packaging time K2 instruction is generated. When the risk factor Wex belongs to interval W3, the monitoring video packaging time K3 instruction is generated, where W1 > W2 > W3 and K1 < K2 < K3.

[0067] The monitoring video packaging time K1 instruction, monitoring video packaging time K2 instruction, and monitoring video packaging time K3 instruction will be sent to the processing module.

[0068] The processing module receives and processes the command to package the surveillance video at the specified time.

[0069] When the monitoring video packaging time K1 instruction is received, the dome camera 1 is compressed and packaged into a K1 video data packet at time K1; when the monitoring video packaging time K2 instruction is received, the dome camera 1 is compressed and packaged into a K2 video data packet at time K2; when the monitoring video packaging time K3 instruction is received, the dome camera 1 is compressed and packaged into a K3 video data packet at time K3.

[0070] The spherical camera 1 acquires video segments K1, K2, or K3 and sends them to the video allocation unit for allocation. Specifically:

[0071] Obtain the distance between the spherical camera 1 and the monitoring center, and mark it as the processing distance dism;

[0072] The moment when the video data packet received by the processing terminal of the monitoring center is obtained is marked as the receiving moment. After analysis and processing, the moment when there is no abnormality or the equipment is abnormal is marked as the sub-point moment. The difference between the sub-point moment and the receiving moment is calculated to obtain the processing time of the processing terminal and marked as pot.

[0073] Obtain the number of times the processing terminal in the monitoring center processes data and mark it as csh.

[0074] Obtain the processing terminal type of the monitoring center. Pre-set each terminal type corresponds to a processing terminal type value. Match the processing terminal type with all processing terminals to obtain the processing terminal type value and mark it as val.

[0075] By pre-set model The processing value pos is obtained, where r1, r2, r3 and r4 are the weighting factors of processing distance, processing time, number of processing times and processing terminal type value, respectively, and η is the correction factor;

[0076] The processing terminals in the monitoring center are sorted in descending order according to the size of the processed values ​​to obtain a ranking of the processing capabilities of the processing terminals.

[0077] The number of spherical cameras 1 packaged with video data packets of K1, K2, or K3 and their corresponding numbers are retrieved respectively. The spherical cameras 1 packaged with video data packets of K1, K2, and K3 are sorted according to their numbers. The spherical cameras 1 packaged with K1, K2, or K3 are sorted in descending order according to their numbers to obtain the ranking of the monitoring videos to be processed.

[0078] The ranking of the surveillance video data packets to be processed is matched one-to-one with the ranking of the processing capabilities of the processing terminals. Specifically, the video data packet ranked first among the surveillance video data packets to be processed is transmitted to the processing terminal ranked first in processing capability.

[0079] Video information is acquired using spherical camera 1, and the video information acquired by spherical camera 1 in different areas is classified and transmitted, specifically as follows:

[0080] The mechanical noise value of the temporary working area where the spherical camera 1 is located is obtained. Preset noise intervals Db1, Db2, and Db3 are defined, each interval corresponding to a noise interference coefficient. The mechanical noise value is matched with all noise intervals to obtain the corresponding noise interference coefficient nofm1, where i = 1, 2, 3. i = 1 represents the noise interference coefficient nofm1 corresponding to noise interval Db1, i = 2 represents the noise interference coefficient nof2 corresponding to noise interval Db2, and i = 3 represents the noise interference coefficient nofm3 corresponding to noise interval Db3. Specifically, when the mechanical noise value is in noise interval Db1, the noise interference coefficient nofm1 is matched; when the mechanical noise value is in noise interval Db2, the noise interference coefficient nofm2 is matched; and when the mechanical noise value is in noise interval Db3, the noise interference coefficient nofm3 is matched. The mechanical noise is matched with all noise intervals to obtain the corresponding noise interference coefficient.

[0081] Obtain the electromagnetic interference value of the temporary working area where the spherical camera 1 is located, and label it as elm;

[0082] The preset intervals O1, O2, and O3 are defined. When the electromagnetic interference value elm is within interval O1, the area is marked as a high-intensity electromagnetic interference area, and the filter is activated to eliminate interference coupling and suppress the interference source. When the electromagnetic interference value elem is within interval O2, the area is marked as a medium-intensity electromagnetic interference area. When the electromagnetic interference value elem is within interval O3, the area is marked as a low-intensity electromagnetic interference area.

[0083] It should be noted that filters can effectively eliminate interference coupling and suppress interference sources, allowing useful signals to pass through smoothly and protecting electronic equipment.

[0084] Different electromagnetic interference coefficients elemj are preset for electromagnetic interference zones of different intensities, where j = 1, 2, 3. When j = 1, elem1 represents the electromagnetic interference coefficient of the high-intensity electromagnetic interference zone pair; when j = 2, elem2 represents the electromagnetic interference coefficient of the medium-intensity electromagnetic interference zone pair; and when j = 3, elem3 represents the electromagnetic interference coefficient of the low-intensity electromagnetic interference zone pair.

[0085] The electromagnetic interference value is matched with all intervals and the corresponding electromagnetic interference coefficients to obtain the corresponding electromagnetic interference coefficient elemj;

[0086] The environmental interference coefficient evnfm is obtained by using the preset model evnfm=f1×nofmi+f2×elemj, where f1 and f2 are the weighting factors of the noise interference coefficient and the electromagnetic interference coefficient, respectively.

[0087] Preset intervals I1, I2, and I3: When the environmental interference coefficient evnfm belongs to interval I1, the spherical camera 1 is marked as a high-interference area and 5G video data packet transmission is triggered; when the environmental interference coefficient evnfm belongs to interval I2, the spherical camera 1 is marked as a medium-interference area and 4G video data packet transmission is triggered; when the environmental interference coefficient evnfm belongs to interval I3, the spherical camera 1 is marked as a low-interference area and Wi-Fi video data packet transmission is triggered.

[0088] When 5G transmission is triggered, the video distribution unit transmits the corresponding video data packets to the processing terminal via 5G transmission.

[0089] The processing terminal analyzes the video data packets uploaded by the processing module, specifically as follows:

[0090] Retrieve the acoustic waveform of the vibration value of the vibration generation device from the video data packet, calculate the difference between the peak and trough within the time interval, and mark it as the amplitude. Plot a line graph of amplitude versus time. Preset amplitude intervals S1 and S2. When the amplitude is within the amplitude interval S1, mark the moment as a normal working moment. When the amplitude is within the amplitude interval S2, mark the moment as an abnormal working moment. Mark the first normal moment after the abnormal moment as the node moment. Mark the first abnormal moment after the normal moment as the derailment moment.

[0091] The amplitudes corresponding to the normal working time are summed and averaged to obtain the normal working amplitude, which is then labeled as nf.

[0092] A preset constant q is used to mark the interval [nf-q, nf+q] as the normal working interval. The amplitude corresponding to the marked abnormal working time is compared with the normal working interval [nf-q, nf+q]. When the amplitude corresponding to the marked abnormal working time is not within the normal working interval [nf-q, nf+q], an abnormal equipment vibration signal is generated.

[0093] It should be noted that amplitude refers to the difference between the highest and lowest values ​​of a sound wave per unit time. The larger the peaks and troughs, the larger the amplitude and the sharper the sound.

[0094] Obtain the resolution of the video data packet and label it as xnd;

[0095] The preset intervals are X1, X2, and X3. When the resolution xnd is within the interval X3, the area where the spherical camera 1 is located is marked as a low-dust area, and ventilation and dust removal operations are triggered.

[0096] When the resolution xnd is within the range X2, the area where the spherical camera 1 is located is marked as a medium dust area, and a spray dust suppression operation is triggered;

[0097] When the resolution xnd is within the range X1, the area where the spherical camera 1 is located is marked as a high-dust area, and the spray dust suppression and dust collector dust removal operations are triggered.

[0098] It should be noted that there is a large amount of dust in coal mines. When the dust is heavy, it will affect the clarity of the monitoring video, making the video unclear and making it difficult to analyze the underground situation based on the video. Ventilation and dust removal refers to diluting and removing the dust generated in the mine through the flow of air, reducing the concentration of working dust. Spray dust suppression uses pressurized water through a sprayer to atomize the water into fine water droplets under the impact. After the high-speed water droplets collide with the dust suspended in the air, the coal dust particles are captured, moistened and agglomerated. Their own weight increases and they settle under the action of gravity.

[0099] The processing terminal sends the generated device anomaly to the processing module;

[0100] When the processing module receives an abnormal signal from the equipment, it broadcasts the signal through the voice announcer within the spherical camera 1 to remind on-site personnel.

[0101] The monitoring center reports any abnormalities in the downhole equipment, specifically as follows:

[0102] Retrieve the node time and derailment time corresponding to the abnormal equipment signal respectively, calculate the difference between them to obtain the abnormal time, accumulate the total abnormal equipment time, and mark it as ate;

[0103] Retrieve the number of times the equipment malfunctioned and mark them as "nut";

[0104] Divide the total equipment malfunction time (ate) by the number of equipment malfunctions (nut) to obtain the average time of each equipment malfunction. When the equipment malfunction time exceeds the preset time, an equipment maintenance signal is generated and displayed.

[0105] When in use, this invention uses a mobile video monitoring device installed at a temporary work site to transmit on-site video to the mine dispatch room or record and store it on-site, which facilitates the supervision of violations during the operation process and reduces the possibility of major production accidents. At the same time, the mobile video monitoring device is equipped with an intrinsically safe power supply box to enable on-site charging and power the camera to work continuously for more than 8 hours, ensuring normal operation of the monitoring.

[0106] By analyzing the temporary working area where the spherical camera 1 is located, a danger factor is obtained. Based on the danger factor, different video packet time periods are generated and sent to the processing module. By analyzing the processing capabilities of the processing terminals, a processing value is obtained. The processing terminals are sorted according to the processing value to obtain a processing ranking. The spherical cameras 1 corresponding to different packet time periods are ranked, and the video data packets of the top-ranked spherical cameras 1 are sent to the top-ranked processing terminals. This achieves the selection of the more optimal processing terminal according to different levels of danger, thereby improving the processing efficiency of video data packets.

[0107] By analyzing the electromagnetic interference and noise interference in the temporary working area where the spherical camera 1 is located, the environmental interference coefficient is obtained. Based on the environmental interference coefficient, 5G, 4G, or Wi-Fi video data packets are transmitted. The noise and electromagnetic interference data are normalized to achieve selective hierarchical data transmission under different levels of environmental interference, avoiding poor data transmission under high environmental interference and affecting the video monitoring effect.

[0108] By analyzing the clarity of video data packets, the temporary working area where the spherical camera 1 is located is marked into areas with different dust levels, triggering different dust removal operations. These areas include low-dust, medium-dust, and high-dust zones, and the different dust removal operations include ventilation dust removal, spray dust suppression, and dust collector dust removal. A sonic waveform of the equipment vibration value is generated from the monitoring video data packets. Analysis of the sonic waveform reveals abnormal equipment signals, which are then sent to the corresponding voice broadcaster built into the spherical camera 1 to alert on-site personnel. The frequency and duration of abnormal equipment signals are accumulated to calculate the average abnormal equipment time. Analysis of the average abnormal equipment time generates equipment maintenance signals, which are then displayed and explained. This system enables equipment monitoring and alerts to abnormal situations, preventing accidents. Furthermore, the frequency and duration of abnormal equipment malfunctions provide feedback on whether maintenance is needed, reducing equipment failure rates and improving equipment efficiency.

[0109] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A portable mobile video surveillance device, comprising a foldable bracket (2), a spherical camera (1) mounted on the foldable bracket (2), and an intrinsically safe power supply box (3) connected to the spherical camera (1); characterized in that, The spherical camera (1) is used to record audio and video in underground coal mines, store the recordings, and transmit them to the monitoring center via Ethernet ring network or Internet; The spherical camera (1) is equipped with a processing module, which is connected to the monitoring center. The monitoring center numbers all the spherical cameras (1). The processing module includes a transmission analysis unit and a video distribution unit. The monitoring center includes a data acquisition terminal and a processing terminal; the processing terminal includes a video data packet analysis unit and an anomaly feedback unit. The data acquisition terminal is used to collect information on temporary work areas, processing distances, and processing terminal types, and then sends the processing distances and processing terminal types to the processing module for storage. The video data packet analysis unit is used to retrieve information about the temporary work area to analyze the danger coefficient of the area, and obtain the monitoring video packaging time instruction based on the danger coefficient, and send it to the processing module; at the same time, it retrieves the acoustic waveform of the vibration value of the vibration generating equipment in the video data packet, and generates the equipment abnormal signal accordingly, and sends the equipment abnormal signal to the spherical camera (1) for voice broadcast; The video data packet analysis unit sets the monitoring video packaging time of the spherical camera (1) according to the temporary work area. Specifically, it obtains the distance between the location of the spherical camera (1) and the dangerous area; obtains the coal seam depth and gas content of the temporary work area; obtains the risk coefficient through the preset model, preset intervals W1, W2 and W3. When the risk coefficient belongs to interval W1, the monitoring video packaging time K1 instruction is generated; when the risk coefficient belongs to interval W2, the monitoring video packaging time K2 instruction is generated; when the risk coefficient belongs to interval W3, the monitoring video packaging time K3 instruction is generated, where W1>W2>W3 and K1<K2<K3; and sends the generated monitoring video packaging time K1 instruction, monitoring video packaging time K2 instruction and monitoring video packaging time K3 instruction to the processing module. The processing module is used to receive and process the monitoring video packaging time instruction. Specifically, when the monitoring video packaging time instruction K1 is received, the spherical camera (1) is compressed and packaged into a K1 video data packet at time K1. When the monitoring video packaging time K2 instruction is received, the spherical camera (1) is compressed and packaged into a K2 video data packet at time K2. When the monitoring video packaging time K3 instruction is received, the spherical camera (1) is compressed and packaged into a K3 video data packet at time K3. The anomaly feedback unit is used to receive equipment anomaly signals, analyze and process them to generate equipment maintenance signals, and display and explain them. The video allocation unit is used to analyze the processing distance, processing terminal type, processing times and processing time to obtain the ranking of the processing capabilities of the processing terminals. At the same time, it ranks the monitoring video data packets to be processed according to the monitoring video packaging time instruction, and pairs the ranking of the monitoring video data packets to be processed with the ranking of the processing capabilities of the processing terminals. The transmission analysis unit is used to analyze and process the mechanical noise value and electromagnetic interference value of the temporary work area to obtain the environmental interference coefficient, and accordingly mark the spherical camera (1) as high interference area monitoring, medium interference area monitoring and low interference area monitoring, and trigger 5G transmission video data packets, 4G transmission video data packets and wifi transmission video data packets respectively; When 5G transmission is triggered, the video distribution unit transmits the corresponding video data packets to the processing terminal via 5G transmission.

2. The portable mobile video surveillance device according to claim 1, characterized in that, Information on temporary work areas includes danger distance, coal seam depth, gas content, mechanical noise level, and electromagnetic interference level.

3. The portable mobile video surveillance device according to claim 1, characterized in that, The video distribution unit performs the distribution operation on video data packets, specifically as follows: Obtain the distance between the spherical camera (1) and the monitoring center; The moment when the video data packet received by the processing terminal of the monitoring center is obtained is marked as the receiving moment. After analysis and processing, the moment when there is no abnormality or the equipment is abnormal is marked as the sub-point moment. The difference between the sub-point moment and the receiving moment is calculated to obtain the processing time of the processing terminal. Obtain the number of times the processing terminal in the monitoring center processes data; Obtain the processing terminal type of the monitoring center. Pre-set a processing terminal type value corresponding to the type of each terminal. Match the processing terminal type with all processing terminals to obtain the processing terminal type value. The processing values ​​are obtained through a preset model. The processing terminals in the monitoring center are then sorted in descending order according to the size of the processing values ​​to obtain a ranking of the processing capabilities of the processing terminals. The number of spherical cameras (1) packaged with video data packets in K1, K2 or K3 and their corresponding spherical camera (1) numbers are retrieved respectively. The spherical cameras (1) packaged with video data packets in K1, K2 or K3 are sorted according to their numbers. The corresponding spherical cameras (1) packaged with K1, K2 or K3 are sorted in descending order to obtain the ranking of the video data packets to be processed. The ranking of the surveillance video data packets to be processed is matched one-to-one with the ranking of the processing capabilities of the processing terminals. Specifically, the video data packet ranked first among the surveillance video data packets to be processed is transmitted to the processing terminal ranked first in processing capability.

4. A portable mobile video surveillance device according to claim 1, characterized in that, The transmission analysis unit classifies and transmits the video data packets acquired by the spherical cameras (1) in different areas, specifically as follows: Obtain the mechanical noise value of the temporary working area where the spherical camera (1) is located. Preset noise intervals Db1, Db2 and Db3. Each interval corresponds to a noise interference coefficient. Match the mechanical noise value with all noise intervals to obtain the corresponding noise interference coefficient nofmi, where i=1,2,3. When i=1, it represents the noise interference coefficient nofm1 corresponding to the noise interval Db1. When i=2, it represents the noise interference coefficient nof2 corresponding to the noise interval Db2. When i=3, it represents the noise interference coefficient nofm3 corresponding to the noise interval Db3. Obtain the electromagnetic interference value of the temporary working area where the spherical camera (1) is located; The preset intervals O1, O2, and O3 are defined. When the electromagnetic interference value is within interval O1, the area is marked as a high-intensity electromagnetic interference area, and the filter is activated to eliminate interference coupling and suppress the interference source. When the electromagnetic interference value is within interval O2, the area is marked as a medium-intensity electromagnetic interference area. When the electromagnetic interference value is within interval O3, the area is marked as a low-intensity electromagnetic interference area. Different electromagnetic interference coefficients elemj are preset for electromagnetic interference zones of different intensities, where j=1,2,3. When j=1, elem1 represents the electromagnetic interference coefficient of the high-intensity electromagnetic interference zone pair; when j=2, elem2 represents the electromagnetic interference coefficient of the medium-intensity electromagnetic interference zone pair; and when j=3, elem3 represents the electromagnetic interference coefficient of the low-intensity electromagnetic interference zone pair. The electromagnetic interference value is matched with all intervals and the corresponding electromagnetic interference coefficient to obtain the corresponding electromagnetic interference coefficient. By pre-set model The environmental interference coefficient is obtained, where f1 and f2 are the weighting factors for the noise interference coefficient and the electromagnetic interference coefficient, respectively. Preset In intervals I1, I2, and I3, when the environmental interference coefficient is in interval I1, the spherical camera (1) is marked as a high interference zone and 5G video data packets are triggered; when the environmental interference coefficient is in interval I2, the spherical camera (1) is marked as a medium interference zone and 4G video data packets are triggered; when the environmental interference coefficient is in interval I3, the spherical camera (1) is marked as a low interference zone and Wi-Fi video data packets are triggered.

5. A portable mobile video surveillance device according to claim 1, characterized in that, The monitoring center analyzes the video data packets uploaded by the processing module, specifically as follows: Retrieve the acoustic waveform of the vibration value of the vibration generation device from the video data packet, calculate the difference between the peak and trough within the time interval, and mark it as the amplitude. Plot a line graph of amplitude versus time. Preset amplitude intervals S1 and S2. When the amplitude is within the amplitude interval S1, mark the moment as a normal working moment. When the amplitude is within the amplitude interval S2, mark the moment as an abnormal working moment. Mark the first normal moment after the abnormal moment as the node moment. Mark the first abnormal moment after the normal moment as the derailment moment. The amplitudes corresponding to the normal working time are summed and averaged to obtain the normal working amplitude, which is then labeled as nf. A preset constant q is used to mark the interval [nf-q, nf+q] as the normal working interval. The amplitude corresponding to the marked abnormal working time is compared with the normal working interval [nf-q, nf+q]. When the amplitude corresponding to the marked abnormal working time is not within the normal working interval [nf-q, nf+q], an abnormal equipment vibration signal is generated. The monitoring center sends the generated device anomalies to the processing module; When the processing module receives an abnormal signal from the equipment, it broadcasts the signal through the voice broadcaster inside the spherical camera (1) to remind the on-site staff.

6. A portable mobile video surveillance device according to claim 5, characterized in that, The video data packet analysis unit performs the following steps to analyze and process video clarity: The resolution of the video data packet is obtained, and the preset intervals are X1, X2 and X3. When the resolution is within the interval X3, the area where the spherical camera (1) is located is marked as a low dust area, and ventilation and dust removal operation is triggered. When the resolution is within the range X2, the area where the spherical camera (1) is located is marked as a medium dust area, and a spray dust suppression operation is triggered; When the resolution is within the range X1, the area where the spherical camera (1) is located is marked as a high dust area, and the spray dust suppression and dust collector dust removal operations are triggered.

7. A portable mobile video surveillance device according to claim 5, characterized in that, The monitoring center is also used to provide feedback on abnormalities in downhole equipment, specifically: The node time and derailment time corresponding to the abnormal equipment signal are retrieved separately, and the difference between them is calculated to obtain the abnormal time. The total abnormal time of the equipment is then accumulated. The system retrieves the number of equipment malfunctions, divides the total equipment malfunction time (ate) by the number of malfunctions (nut) to obtain the average time per malfunction. When the equipment malfunction time exceeds the preset time, an equipment maintenance signal is generated and displayed.

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