An intelligent garage safety monitoring system based on 5G network

Abstract

The present invention discloses an intelligent garage safety monitoring system based on 5G network, including a parking space information collection module, a fire equipment collection module, a garage information collection module, a monitoring information collection module, a vehicle data collection module, an environmental information collection module and a parking space classification module; the fire equipment collection module is used to collect fire equipment information in the garage, the garage information collection module is used to collect garage area information, the monitoring information collection module is used to collect monitoring equipment information, the vehicle quantity collection module is used to collect parking quantity information, the environmental information collection module is used to collect environmental information of the parking garage, and the parking space classification module is used to classify parking spaces according to parking vehicle type information. The present invention effectively ensures the safety of vehicles by performing intelligent parking space classification and intelligent supervision mode setting.

Description

Technical Field

[0001] The present invention relates to the field of garage monitoring, and in particular to an intelligent garage safety monitoring system based on a 5G network. Background Art

[0002] Smart garage is a new type of garage that uses contactless smart IC cards as the credentials for vehicles to enter and exit the parking lot, uses advanced image comparison functions to monitor vehicles entering and leaving the parking lot in real time, uses a large LED display screen to guide car owners to find their assigned parking spaces, uses stable communications and a powerful database to manage the information of each vehicle and parking space, and uses advanced electronic maps to monitor the dynamic information of on-site vehicle parking in real time.

[0003] When a smart garage is in use, real-time security monitoring is required to ensure the safety of the vehicles in the garage. The intelligent garage security monitoring system is required during the security monitoring process of the smart garage.

[0004] The existing garage safety monitoring system does not take into account the fact that electric vehicles are prone to explosion during actual use. Its fixed monitoring mode leads to poor safety monitoring effect, which has a certain impact on the use of the garage safety monitoring system. Therefore, an intelligent garage safety monitoring system based on 5G network is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problem that the existing garage safety monitoring system does not take into account the fact that electric vehicles are prone to deflagration during actual use, and its fixed monitoring mode leads to poor safety monitoring effect, which has a certain impact on the use of the garage safety monitoring system. An intelligent garage safety monitoring system based on 5G network is provided.

[0006] The present invention solves the above technical problems through the following technical solutions, which include:

[0007] A parking space information collection module, which is used to collect information on the number of parking spaces in the garage;

[0008] A fire equipment collection module, which is used to collect fire equipment information in the garage, including the number of fire equipment, the fire area of ​​a single fire equipment and the type of fire equipment, including general fire equipment and electrical fire equipment;

[0009] A garage information collection module, wherein the garage information collection module is used to collect garage area information;

[0010] A monitoring information collection module, wherein the monitoring information collection module is used to collect monitoring equipment information, the monitoring equipment information includes monitoring area information of a single monitoring equipment and monitoring equipment quantity information;

[0011] A vehicle quantity collection module, which is used to collect parking quantity information, including fuel vehicle quantity information and electric vehicle quantity information;

[0012] An environmental information collection module, which is used to collect environmental information of the parking garage, including temperature information, rainfall information and smoke concentration information;

[0013] A parking space classification module, which is used to classify parking spaces according to the type information of parked vehicles, and the types of parking spaces include fuel parking spaces and electric parking spaces;

[0014] The safety monitoring system obtains a safety supervision mode by processing the parking space quantity information and the vehicle quantity information;

[0015] The safety monitoring system processes the fire equipment information and the garage area information to obtain fire rating information;

[0016] The safety monitoring system processes the monitoring information to obtain monitoring warning information;

[0017] The safety monitoring system processes the environmental information to generate environmental warning information;

[0018] The safety monitoring system processes the parking quantity information within a preset time period to obtain parking space classification information.

[0019] Furthermore, the security supervision mode includes a first supervision mode, a second supervision mode and a third supervision mode.

[0020] Furthermore, the specific processing procedures of the first supervision mode, the second supervision mode and the third supervision mode are as follows:

[0021] Step 1: Extract the collected parking space quantity information and vehicle quantity information, and obtain fuel vehicle quantity information and electric vehicle quantity information from the vehicle quantity information;

[0022] Step 2: Mark the number of parking spaces as K1, the number of fuel vehicles as K2, and the number of electric vehicles as K3;

[0023] Step 3: Calculate the ratio between the parking space quantity information K1 and the fuel vehicle quantity information K2 to obtain the proportion of parked fuel vehicles Kk1, and then calculate the ratio between the parking space quantity information K1 and the electric vehicle quantity information K3 to obtain the proportion of electric vehicles Kk2;

[0024] Step 4: When the parking space quantity information K1 is greater than the preset quantity, the fuel vehicle quantity ratio Kk1 is less than the preset value, and the electric vehicle quantity ratio Kk2 is greater than the preset value, a first supervision mode is generated;

[0025] When the parking space quantity information K1 is within the preset value range, the difference between the fuel vehicle quantity ratio Kk1 and the electric vehicle quantity ratio Kk2 is greater than the preset value is less than the preset value, but the electric vehicle quantity ratio Kk2 is greater than the preset value, the second supervision mode is generated;

[0026] When the parking space quantity information K1 is less than the preset quantity, but the proportion of electric vehicles Kk2 is greater than the warning value, the first supervision mode is generated;

[0027] Except for the above situations, other situations will automatically enter the third supervision mode.

[0028] Furthermore, the specific supervision process of the first supervision mode is as follows: arrange a preset number A1 of inspection personnel to conduct a garage inspection every preset time B1, and upload an inspection report;

[0029] The specific supervision process of the second supervision mode is as follows: arrange a preset number A2 of patrol inspectors to conduct a garage inspection every preset time B2 and upload the inspection report;

[0030] The specific supervision process of the third supervision mode is as follows: arrange a preset number A3 of patrol inspectors to conduct a garage inspection every preset time B3 and upload the inspection report;

[0031] A1>A2>A3, B1>B2>B3.

[0032] Furthermore, the fire rating information includes a first-level fire rating, a second-level fire rating, and a third-level fire rating. The specific processing process of the fire rating information is as follows:

[0033] Step (1): extract the collected fire-fighting equipment information and garage area information, obtain the quantity information of fire-fighting equipment, the fire-fighting area information of a single fire-fighting equipment and the type information of fire-fighting equipment from the fire-fighting equipment information, and then obtain the general fire-fighting equipment and electrical fire-fighting equipment from the fire-fighting equipment type information;

[0034] Step (2): mark the number of general fire-fighting equipment and electrical fire-fighting equipment as U1 and U2 respectively, mark the number information of fire-fighting equipment as T, mark the fire-fighting area information of a single fire-fighting equipment as V, and mark the garage area information as E;

[0035] Step (3): Calculate the total fire protection area Tv of the fire protection equipment by the formula T*V=Tv, and then calculate the first evaluation parameter Te of the difference between the total fire protection area Tv of the fire protection equipment and the garage area information E;

[0036] Step (4): Calculate the ratio between the number U2 of electrical fire fighting equipment and the number U1 of general fire fighting equipment to obtain a second evaluation parameter Uu;

[0037] Step (5): When the first evaluation parameter Te is less than the preset value, a third-level fire rating is generated; when the second evaluation parameter Uu is less than the preset value, a third-level fire rating is generated; when the first evaluation parameter Te is within the preset value range, a second-level fire rating is generated; when the second evaluation parameter Uu is within the preset range, a second-level fire rating is generated; when the first evaluation parameter Te is greater than the preset value, a first-level fire rating is generated; when the second evaluation parameter Uu is less than the preset value, a first-level fire rating is generated.

[0038] Furthermore, when the evaluation result of the first evaluation parameter and the evaluation result of the second evaluation parameter are generated at the same time, the rating with the higher level shall prevail.

[0039] Furthermore, the specific processing process of the environmental warning information is as follows: extract the collected environmental information, obtain temperature information, rainfall information and smoke concentration information from the environmental information, and generate environmental warning information when any one of the temperature information, rainfall information and smoke concentration information is greater than a preset value.

[0040] Furthermore, the parking space classification information includes a first classification mode, a second classification mode and an unclassified mode, and the specific processing process of the parking space classification information is as follows: the vehicle quantity information within a preset time period is extracted, and the parking quantity information includes the fuel vehicle quantity information and the electric vehicle quantity information, which are marked as Q1 and Q2, and the ratio of the electric vehicle quantity information Q2 to the fuel vehicle quantity information Q1 is calculated to obtain the electric vehicle proportion Qq. When the electric vehicle proportion Qq is greater than the preset value, and the electric vehicle quantity information Q2 is greater than the preset value, the first classification mode is generated. When the electric vehicle proportion Qq is less than the preset value, but the electric vehicle quantity information Q2 is greater than the preset value, the second classification mode is generated. When the electric vehicle proportion Qq is less than the preset value, and the electric vehicle quantity information Q2 is less than the preset value, the unclassified mode is generated.

[0041] Furthermore, the specific content of the first classification mode is: the parking spaces in the garage are arranged according to the ratio of fuel vehicles to electric vehicles of 3 to 1, and the parking spaces for electric vehicles are arranged at the farthest distance from the garage exit;

[0042] The specific content of the second classification mode is: the parking spaces in the garage are set according to the ratio of 4 to 1 for fuel vehicles and electric vehicles, and the parking spaces for electric vehicles are set at the farthest distance from the garage exit.

[0043] Compared with the prior art, the present invention has the following advantages: the intelligent garage safety monitoring system based on 5G network can effectively avoid the situation where the fuel vehicle is affected by the explosion of the electric vehicle and the fire becomes bigger by collecting the vehicle type when the vehicle enters the garage and separating the parking spaces for electric vehicles and fuel vehicles. It can also cooperate with the comprehensive analysis of the fire-fighting equipment information in the garage to understand the fire-fighting status of the garage, so as to generate corresponding warning information in time to warn the management personnel to replenish the fire-fighting equipment and ensure that there are sufficient fire-fighting equipment in case of accidents. In addition, it can make dynamic personnel inspection arrangements according to the number of parking lots in the garage, which can better ensure the safety of vehicles in the garage while minimizing the workload of the inspection personnel and making more reasonable use of the inspection personnel, thereby realizing intelligent monitoring and making the system more worthy of popularization and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0045] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0046] like Figure 1 As shown, this embodiment provides a technical solution: an intelligent garage safety monitoring system based on a 5G network, including a parking space information collection module, wherein the parking space information collection module is used to collect information on the number of parking spaces in the garage;

[0047] A fire equipment collection module, which is used to collect fire equipment information in the garage, including the number of fire equipment, the fire area of ​​a single fire equipment and the type of fire equipment, including general fire equipment and electrical fire equipment;

[0048] A garage information collection module, wherein the garage information collection module is used to collect garage area information;

[0049] A monitoring information collection module, wherein the monitoring information collection module is used to collect monitoring equipment information, the monitoring equipment information includes monitoring area information of a single monitoring equipment and monitoring equipment quantity information;

[0050] A vehicle quantity collection module, which is used to collect parking quantity information, including fuel vehicle quantity information and electric vehicle quantity information;

[0051] An environmental information collection module, which is used to collect environmental information of the parking garage, including temperature information, rainfall information and smoke concentration information;

[0052] A parking space classification module, which is used to classify parking spaces according to the type information of parked vehicles, and the types of parking spaces include fuel parking spaces and electric parking spaces;

[0053] The safety monitoring system obtains a safety supervision mode by processing the parking space quantity information and the vehicle quantity information;

[0054] The safety monitoring system processes the fire equipment information and the garage area information to obtain fire rating information;

[0055] The safety monitoring system processes the monitoring information to obtain monitoring warning information;

[0056] The safety monitoring system processes the environmental information to generate environmental warning information;

[0057] The safety monitoring system processes the parking quantity information within a preset time period to obtain parking space classification information;

[0058] By collecting the vehicle type when the vehicle enters the garage and setting up separate parking spaces for electric and fuel vehicles, it can effectively prevent the explosion of electric vehicles from affecting fuel vehicles and causing the fire to spread. Combined with the comprehensive analysis of the fire-fighting equipment information in the garage, the fire-fighting status of the garage can be understood, so as to generate corresponding warning information in time to alert management personnel to replenish fire-fighting equipment and ensure that there are sufficient fire-fighting equipment available in the event of an accident. In addition, dynamic personnel inspection arrangements are made according to the number of parking spaces in the garage. While better ensuring the safety of vehicles in the garage, the workload of inspection personnel is minimized and the inspection personnel are used more reasonably, making the system more worthy of promotion and use.

[0059] The safety supervision mode includes a first supervision mode, a second supervision mode and a third supervision mode;

[0060] The specific processing procedures of the first supervision mode, the second supervision mode and the third supervision mode are as follows:

[0061] Step 1: Extract the collected parking space quantity information and vehicle quantity information, and obtain fuel vehicle quantity information and electric vehicle quantity information from the vehicle quantity information;

[0062] Step 2: Mark the number of parking spaces as K1, the number of fuel vehicles as K2, and the number of electric vehicles as K3;

[0063] Step 3: Calculate the ratio between the parking space quantity information K1 and the fuel vehicle quantity information K2 to obtain the proportion of parked fuel vehicles Kk1, and then calculate the ratio between the parking space quantity information K1 and the electric vehicle quantity information K3 to obtain the proportion of electric vehicles Kk2;

[0064] Step 4: When the parking space quantity information K1 is greater than the preset quantity, the fuel vehicle quantity ratio Kk1 is less than the preset value, and the electric vehicle quantity ratio Kk2 is greater than the preset value, a first supervision mode is generated;

[0065] When the parking space quantity information K1 is within the preset value range, the difference between the fuel vehicle quantity ratio Kk1 and the electric vehicle quantity ratio Kk2 is greater than the preset value is less than the preset value, but the electric vehicle quantity ratio Kk2 is greater than the preset value, the second supervision mode is generated;

[0066] When the parking space quantity information K1 is less than the preset quantity, but the proportion of electric vehicles Kk2 is greater than the warning value, the first supervision mode is generated;

[0067] In addition to the above situations, other situations will automatically enter the third supervision mode;

[0068] Through the above process, different supervision standards are formulated according to the number and type of parking in the garage, so as to arrange different numbers and different inspection times of inspection personnel, conduct intelligent inspections, and ensure vehicle safety.

[0069] The specific supervision process of the first supervision mode is as follows: arrange a preset number A1 of patrol inspectors to conduct a garage inspection every preset time B1 and upload the inspection report;

[0070] The specific supervision process of the second supervision mode is as follows: arrange a preset number A2 of patrol inspectors to conduct a garage inspection every preset time B2 and upload the inspection report;

[0071] The specific supervision process of the third supervision mode is as follows: arrange a preset number A3 of patrol inspectors to conduct a garage inspection every preset time B3 and upload the inspection report;

[0072] A1>A2>A3, B1>B2>B3.

[0073] The fire rating information includes a first-level fire rating, a second-level fire rating, and a third-level fire rating. The specific processing process of the fire rating information is as follows:

[0074] Step (1): extract the collected fire-fighting equipment information and garage area information, obtain the quantity information of fire-fighting equipment, the fire-fighting area information of a single fire-fighting equipment and the type information of fire-fighting equipment from the fire-fighting equipment information, and then obtain the general fire-fighting equipment and electrical fire-fighting equipment from the fire-fighting equipment type information;

[0075] Step (2): mark the number of general fire-fighting equipment and electrical fire-fighting equipment as U1 and U2 respectively, mark the number information of fire-fighting equipment as T, mark the fire-fighting area information of a single fire-fighting equipment as V, and mark the garage area information as E;

[0076] Step (3): Calculate the total fire protection area Tv of the fire protection equipment by the formula T*V=Tv, and then calculate the first evaluation parameter Te of the difference between the total fire protection area Tv of the fire protection equipment and the garage area information E;

[0077] Step (4): Calculate the ratio between the number U2 of electrical fire fighting equipment and the number U1 of general fire fighting equipment to obtain a second evaluation parameter Uu;

[0078] Step (5): When the first evaluation parameter Te is less than a preset value, a third-level fire rating is generated; when the second evaluation parameter Uu is less than a preset value, a third-level fire rating is generated; when the first evaluation parameter Te is within a preset value range, a second-level fire rating is generated; when the second evaluation parameter Uu is within a preset range, a second-level fire rating is generated; when the first evaluation parameter Te is greater than a preset value, a first-level fire rating is generated; when the second evaluation parameter Uu is less than a preset value, a first-level fire rating is generated;

[0079] When an electric car catches fire, general fire-fighting equipment cannot effectively extinguish the fire, so special fire-fighting equipment is required. In this case, the fire-fighting equipment information is comprehensively processed to understand the reserve status of the fire-fighting equipment in the garage, and generate corresponding fire rating information in time when an abnormality is found. The first-level fire rating means that the fire-fighting equipment is fully prepared and does not need to be replenished. The second-level fire rating means that the fire-fighting equipment reserves are normal and need to be replenished regularly. The third-level fire rating means that the fire-fighting equipment reserves are insufficient and need to be replenished immediately.

[0080] When the evaluation result of the first evaluation parameter and the evaluation result of the second evaluation parameter are generated at the same time, the rating with the higher level shall prevail.

[0081] The specific processing process of the environmental warning information is as follows: extracting the collected environmental information, obtaining temperature information, rainfall information and smoke concentration information from the environmental information, and generating environmental warning information when any one of the temperature information, rainfall information and smoke concentration information is greater than a preset value;

[0082] If the ambient temperature is too high or the smoke concentration is too high, it means that a fire may have occurred. If the rainfall is too heavy, if the garage is an underground garage, it may cause water to enter the garage and submerge the vehicle. Therefore, when an abnormal garage environment is found, corresponding environmental warning information is generated in time to remind managers and car owners to ensure vehicle safety.

[0083] The parking space classification information includes a first classification mode, a second classification mode and an unclassified mode. The specific processing process of the parking space classification information is as follows: the vehicle quantity information within a preset time length is extracted, and the parking quantity information includes the fuel vehicle quantity information and the electric vehicle quantity information, which are marked as Q1 and Q2. The ratio of the electric vehicle quantity information Q2 to the fuel vehicle quantity information Q1 is calculated to obtain the electric vehicle proportion Qq. When the electric vehicle proportion Qq is greater than the preset value, and the electric vehicle quantity information Q2 is greater than the preset value, the first classification mode is generated. When the electric vehicle proportion Qq is less than the preset value, but the electric vehicle quantity information Q2 is greater than the preset value, the second classification mode is generated. When the electric vehicle proportion Qq is less than the preset value, and the electric vehicle quantity information Q2 is less than the preset value, the unclassified mode is generated.

[0084] The specific content of the first classification mode is: the parking spaces in the garage are set according to the ratio of fuel vehicles to electric vehicles of 3 to 1, and the parking spaces for electric vehicles are set at the farthest distance from the garage exit;

[0085] The specific content of the second classification mode is: the parking spaces in the garage are set according to the ratio of fuel vehicles to electric vehicles of 4 to 1, and the parking spaces for electric vehicles are set at the farthest distance from the garage exit;

[0086] According to the records of the types of vehicles parked in the garage, parking spaces are classified and electric vehicles and fuel vehicles are parked in different areas. Because battery technology is still developing, the probability of electric vehicle battery explosion is still relatively high. Therefore, fuel vehicles and electric vehicles are parked separately, and electric vehicles are planned to exit the garage far away from the entrance. In case of electric vehicle explosion, the exit will not be blocked and other vehicles can leave safely, thus effectively avoiding the fire caused by electric vehicle explosion and igniting fuel vehicles, thereby better ensuring the safety of vehicles in the garage.

[0087] The specific processing process of the monitoring warning information is as follows: extract the collected monitoring information and garage area information, obtain the monitoring area information P1 and the number of monitoring devices P2 of a single monitoring device from the monitoring information, and obtain the total monitoring area through the formula P1*P2=Pp. When the total monitoring area and the garage area information are less than the preset value, generate monitoring warning information;

[0088] The setting of monitoring warning information can promptly remind management personnel to add monitoring equipment when the monitoring area is insufficient, so as to realize comprehensive monitoring of the garage and ensure vehicle safety.

[0089] All information transmission during this week is carried out through the 5G network, so the information transmission speed is fast.

[0090] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0091] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0092] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent garage safety monitoring system based on 5G network, characterized in that: include: A parking space information collection module, which is used to collect information on the number of parking spaces in the garage; A fire equipment collection module, which is used to collect fire equipment information in the garage, including the number of fire equipment, the fire area of ​​a single fire equipment and the type of fire equipment, including general fire equipment and electrical fire equipment; A garage information collection module, wherein the garage information collection module is used to collect garage area information; A monitoring information collection module, wherein the monitoring information collection module is used to collect monitoring equipment information, the monitoring equipment information includes monitoring area information of a single monitoring equipment and monitoring equipment quantity information; A vehicle quantity collection module, which is used to collect parking quantity information, including fuel vehicle quantity information and electric vehicle quantity information; An environmental information collection module, which is used to collect environmental information of the parking garage, including temperature information, rainfall information and smoke concentration information; A parking space classification module, which is used to classify parking spaces according to the type information of parked vehicles, and the types of parking spaces include fuel parking spaces and electric parking spaces; The safety monitoring system obtains a safety supervision mode by processing the parking space quantity information and the vehicle quantity information; The safety monitoring system processes the fire equipment information and the garage area information to obtain fire rating information; The safety monitoring system processes the monitoring information to obtain monitoring warning information; The safety monitoring system processes the environmental information to generate environmental warning information; The safety monitoring system processes the parking quantity information within a preset time period to obtain parking space classification information; The safety supervision mode includes a first supervision mode, a second supervision mode and a third supervision mode; The specific processing procedures of the first supervision mode, the second supervision mode and the third supervision mode are as follows: Step 1: Extract the collected parking space quantity information and vehicle quantity information, and obtain fuel vehicle quantity information and electric vehicle quantity information from the vehicle quantity information; Step 2: Mark the number of parking spaces as K1, the number of fuel vehicles as K2, and the number of electric vehicles as K3; Step 3: Calculate the ratio between the parking space quantity information K1 and the fuel vehicle quantity information K2 to obtain the proportion of parked fuel vehicles Kk1, and then calculate the ratio between the parking space quantity information K1 and the electric vehicle quantity information K3 to obtain the proportion of electric vehicles Kk2; Step 4: When the parking space quantity information K1 is greater than the preset quantity, the fuel vehicle quantity ratio Kk1 is less than the preset value, and the electric vehicle quantity ratio Kk2 is greater than the preset value, a first supervision mode is generated; When the parking space quantity information K1 is within the preset value range, the difference between the fuel vehicle quantity ratio Kk1 and the electric vehicle quantity ratio Kk2 is greater than the preset value is less than the preset value, but the electric vehicle quantity ratio Kk2 is greater than the preset value, the second supervision mode is generated; When the parking space quantity information K1 is less than the preset quantity, but the proportion of electric vehicles Kk2 is greater than the warning value, the first supervision mode is generated; In addition to the above situations, other situations will automatically enter the third supervision mode; The fire rating information includes a first-level fire rating, a second-level fire rating, and a third-level fire rating. The specific processing process of the fire rating information is as follows: Step (1): extract the collected fire-fighting equipment information and garage area information, obtain the quantity information of fire-fighting equipment, the fire-fighting area information of a single fire-fighting equipment and the type information of fire-fighting equipment from the fire-fighting equipment information, and then obtain the general fire-fighting equipment and electrical fire-fighting equipment from the fire-fighting equipment type information; Step (2): mark the number of general fire-fighting equipment and electrical fire-fighting equipment as U1 and U2 respectively, mark the number information of fire-fighting equipment as T, mark the fire-fighting area information of a single fire-fighting equipment as V, and mark the garage area information as E; Step (3): Calculate the total fire protection area Tv of the fire protection equipment by the formula T*V=Tv, and then calculate the first evaluation parameter Te of the difference between the total fire protection area Tv of the fire protection equipment and the garage area information E; Step (4): Calculate the ratio between the number U2 of electrical fire fighting equipment and the number U1 of general fire fighting equipment to obtain a second evaluation parameter Uu; Step (5): When the first evaluation parameter Te is less than the preset value, a third-level fire rating is generated; when the second evaluation parameter Uu is less than the preset value, a third-level fire rating is generated; when the first evaluation parameter Te is within the preset value range, a second-level fire rating is generated; when the second evaluation parameter Uu is within the preset range, a second-level fire rating is generated; when the first evaluation parameter Te is greater than the preset value, a first-level fire rating is generated; when the second evaluation parameter Uu is less than the preset value, a first-level fire rating is generated.

2. According to claim 1, an intelligent garage safety monitoring system based on 5G network is characterized in that: The specific supervision process of the first supervision mode is as follows: arrange a preset number A1 of patrol inspectors to conduct a garage inspection every preset time B1 and upload the inspection report; The specific supervision process of the second supervision mode is as follows: arrange a preset number A2 of patrol inspectors to conduct a garage inspection every preset time B2 and upload the inspection report; The specific supervision process of the third supervision mode is as follows: arrange a preset number A3 of patrol inspectors to conduct a garage inspection every preset time B3 and upload the inspection report; A1>A2>A3, B1>B2>B3.

3. According to claim 2, the intelligent garage safety monitoring system based on 5G network is characterized in that: When the evaluation result of the first evaluation parameter and the evaluation result of the second evaluation parameter are generated at the same time, the rating with the higher level shall prevail.

4. According to claim 1, the intelligent garage safety monitoring system based on 5G network is characterized in that: The specific processing process of the environmental warning information is as follows: extract the collected environmental information, obtain temperature information, rainfall information and smoke concentration information from the environmental information, and generate environmental warning information when any one of the temperature information, rainfall information and smoke concentration information is greater than a preset value.

5. According to claim 1, the intelligent garage safety monitoring system based on 5G network is characterized in that: The parking space classification information includes a first classification mode, a second classification mode and an unclassified mode. The specific processing process of the parking space classification information is as follows: the vehicle quantity information within a preset time length is extracted, and the parking quantity information includes the fuel vehicle quantity information and the electric vehicle quantity information, which are marked as Q1 and Q2. The ratio of the electric vehicle quantity information Q2 to the fuel vehicle quantity information Q1 is calculated to obtain the electric vehicle proportion Qq. When the electric vehicle proportion Qq is greater than the preset value, and the electric vehicle quantity information Q2 is greater than the preset value, the first classification mode is generated. When the electric vehicle proportion Qq is less than the preset value, but the electric vehicle quantity information Q2 is greater than the preset value, the second classification mode is generated. When the electric vehicle proportion Qq is less than the preset value, and the electric vehicle quantity information Q2 is less than the preset value, the unclassified mode is generated.

6. According to claim 5, the intelligent garage safety monitoring system based on 5G network is characterized in that: The specific content of the first classification mode is: the parking spaces in the garage are set according to the ratio of fuel vehicles to electric vehicles of 3 to 1, and the parking spaces for electric vehicles are set at the farthest distance from the garage exit; The specific content of the second classification mode is: the parking spaces in the garage are set according to the ratio of 4 to 1 for fuel vehicles and electric vehicles, and the parking spaces for electric vehicles are set at the farthest distance from the garage exit.

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