Digital block assessment method based on big data

Abstract

The invention relates to the technical field of digital block assessment, and discloses a digital block assessment method based on big data, which comprises the following steps: designing a block building digital twin model, scanning a block by using a panoramic scanning device and making a 3D model, displaying scanning data on the 3D model by a control terminal, and completing independent sub-region division marking on the block. Detecting environmental conditions in the block, performing simulation analysis on detection data of the plurality of groups of detection sensors, evaluating current hardware operation conditions of the block, monitoring pedestrian flow, traffic flow, flowing vendors and other flowing objects in the block, and judging whether conflicts or safety risks exist in the current block; according to block planning requirements, by combining block buildings and business district layout, assessment of possible fire-fighting risks, obtaining of fire guidance schematic diagrams and assessment of fire-fighting equipment and routes, fire-fighting setting of blocks is completed, block fire inspection and fire-fighting routes are pointed out, and block fire-fighting safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of digital block assessment design, and in particular to a digital block assessment method based on big data. Background Art

[0002] Big data, or massive data, involves a huge amount of data that cannot be captured, managed, processed, and organized into information that helps enterprises make more proactive business decisions within a reasonable time through mainstream software tools. In the process of management, the existing big data smart block needs to conduct digital analysis of the block's business model, evaluate the block's external environment such as the appearance of the merchant building, the external environment, personnel flow and safety protection, manage the block's fire prevention, theft prevention, and anti-riot use needs, improve the block's security and maintenance, and facilitate customers entering the block to inquire about the location of public toilets, parking spaces, trash cans or target merchants, so that customers can find and quickly locate them, and at the same time improve the efficiency of block managers in handling block emergencies. However, the evaluation and management objects of the existing big data smart block are too single, making it difficult to manage the entire block intelligently and to respond to emergencies in the block, making the management of the block not intelligent enough. To this end, a digital block evaluation method based on big data is proposed. Summary of the invention

[0003] 1. Technical issues to be resolved In order to solve at least one aspect of the above problems, the present invention first provides a digital block assessment method based on big data, which has relatively large data storage and computing capabilities, cooperates with a scanning device to draw 3D simulation maps, and makes intelligent assessments of block maintenance and operation based on multiple sets of detection data, so as to improve the management effect of the block.

[0004] (II) Technical solution In order to solve the technical problem, the present invention provides a digital block evaluation method based on big data, comprising the following steps: S1. Use a scanning device to perform an all-round scan of the target block, and transmit the scanning information to the control end, accurately draw a 3D simulation map of the block, and divide the commercial buildings, road planning and public facilities in the block on the 3D simulation map; S2. After dividing the target block into several planned independent sub-areas, a horizontal detection line is constructed for monitoring the perimeter of the commercial buildings, and then a vertical detection line is constructed for the road planning area and the public area; S3. Use multiple camera components, sensor detection networks and communication components to collect environmental condition parameters of each sub-area in real time, detect whether the environment of each sub-area is in a normal state, and build an overall digital twin model of the block building based on the combination of each sub-area; S4. After the block is divided and marked into independent sub-areas, the environmental conditions inside the block are detected, and the parameters of buildings and other aspects in the sub-areas are collected. The risk coefficients of the relevant sub-areas are constructed from multiple sets of detection parameters, and the precise risk locations of each sub-area are marked and monitored based on the risk coefficients; S5. Pre-set the standard environment static object parameters, use the block building digital twin model to perform dynamic simulation tests on the commercial buildings and surrounding objects in each sub-area, select useful data from the acquired test data to perform multiple sets of targeted linear regression analysis, eliminate the subjective errors of each element, evaluate the block environment parameters, screen out risk factors from the environmental parameters according to the analysis conclusions, make adjustments, and provide relevant maintenance plans; S6. Monitor dynamic objects in the block, such as pedestrians, vehicles, mobile vendors, and pets, and focus on monitoring objects with abnormal behaviors. It can quickly determine the location and objects of emergencies, transmit them to the block management department to respond to emergencies, and quickly locate and handle them; S7. Based on the pre-risk assessment parameters of the block, as well as the risk assessment of the environment and mobile objects during the block's time-based use, a maintenance plan for each sub-area of ​​the block is established, and more complete fire-fighting, evacuation and escape passages are built according to specific usage conditions to ensure the safety of the block.

[0005] Furthermore, the evaluation aspects of the digital twin model of the block building include: complete evaluation of the design picture, fire protection measures, anti-theft measures, sewage exposure points, water, electricity and gas fault investigation, building decay monitoring and congestion avoidance measures.

[0006] Furthermore, the digital twin model of the block building also has a safety plan, which includes an evacuation plan, evacuation routes and guidance devices.

[0007] Furthermore, the block building digital twin model is also provided with a commercial value assessment module. The block building digital twin model counts the customer flow of relevant merchants and the number of repeated trips of the same customer, and uses a set calculation formula to conduct commercial value assessment.

[0008] Furthermore, the block building digital twin model includes a processor, a data acquisition module, a data feature extraction module, an algorithm input module, a permission module and a query processing module.

[0009] Furthermore, the processor is equipped with a memory and a power supply device, and the memory stores the collected data and preset algorithm data.

[0010] Furthermore, the digital twin model of the block building is also provided with an inspection unit, and the inspection unit includes an inspection device, and the working process of the inspection device is as follows: S1. The inspection device receives the inspection task and plans the inspection route and inspection object based on the inspection task and inspection authority; S2. After the inspection device obtains the inspection authority, it performs a one-way inspection on the inspection object according to the set inspection route, and transmits the inspection image to the control end in real time; S3. The inspection device detects the surroundings of the inspection object and makes a preliminary judgment on the current status of the inspection object; S4.1. If the inspection device believes that there is no abnormality in the inspection object, it sends a normal inspection signal to the control end, and the control end sends a working signal for the inspection device to continue moving forward, and the inspection device continues to operate along the set inspection route; S4.2. If the inspection device determines that there is an abnormality in the inspection object, it sends an inspection abnormality signal to the control end, and the control end retrieves the monitoring around the abnormal object to assist in determining whether there is really an abnormality and provides a solution; S5. After the control end completes processing of the abnormal inspection situation, the video of the abnormal object is temporarily archived and saved, and a retention period is set. It is deleted after confirming that the hidden danger has been eliminated, and the abnormal situation is recorded in the database.

[0011] (III) Beneficial effects 1. A digital block assessment method based on big data provided by the present invention scans the block and makes a 3D model. The control end displays the scanned data on the 3D model, and simulates and analyzes the detection data of multiple groups of detection sensors to evaluate the current hardware operating conditions of the block, monitor the flow of people, vehicles, mobile vendors and other mobile objects in the block, and determine whether there are conflicts or safety risks in the current block; according to the block planning requirements, combined with the layout of block buildings and business districts, the possible fire risks are assessed, a fire guidance diagram is obtained, and the fire-fighting equipment and routes are evaluated to improve the fire-fighting settings of the block, point out the fire inspections and fire routes of the block, and ensure the fire safety of the block.

[0012] 2. The scheme of the present invention evaluates the building facade decoration, road planning including greening design and public facilities of the block, determines whether it is necessary to rectify the buildings or other inharmonious objects in the relevant sub-areas, and ensures the ornamental value of the block; evaluates the sewage system of the block to facilitate the adjustment of unqualified sewage devices and sanitary dead corners, ensures the stable operation of the sewage system of merchants in the block, avoids the appearance of exposed sewage points in the block, ensures the normal operation of the sewage system, and improves the overall performance image of the block; inspects and maintains the equipment in the block to ensure the normal operation of the equipment in the block. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A flowchart of a digital block evaluation method according to an embodiment of the present invention; Figure 2A schematic diagram of the digital twin model structure of the digital block evaluation method according to an embodiment of the present invention; Figure 3 A complete diagram of the design screen of the digital block evaluation method according to an embodiment of the present invention; Figure 4 A fire protection measure diagram of a digital block assessment method according to an embodiment of the present invention; Figure 5 It is an anti-theft measure diagram of the digital block evaluation method according to an embodiment of the present invention; Figure 6 A monitoring diagram of sewage exposure points in a digital block assessment method according to an embodiment of the present invention; Figure 7 A water, electricity and gas fault troubleshooting diagram of a digital block assessment method according to an embodiment of the present invention; Figure 8 A building decay monitoring map of the digital block assessment method according to an embodiment of the present invention; Fig. 9 A congestion avoidance measure diagram of a digital block assessment method according to an embodiment of the present invention; Fig.10 This is a workflow diagram of the inspection device of the digital block evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0014] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0015] See also Figures 1 to 10 The embodiment of the present invention provides a digital block evaluation method based on big data, comprising the following steps: S1. Use a scanning device to perform an all-round scan of the target block, and transmit the scanning information to the control end, accurately draw a 3D simulation map of the block, and divide the commercial buildings, road planning and public facilities in the block on the 3D simulation map; S2. After dividing the target block into several planned independent sub-areas, a horizontal detection line is constructed for monitoring the perimeter of the commercial buildings, and then a vertical detection line is constructed for the road planning area and the public area; S3. Use multiple camera components, sensor detection networks and communication components to collect environmental condition parameters of each sub-area in real time, detect whether the environment of each sub-area is in a normal state, and build an overall digital twin model of the block building based on the combination of each sub-area; S4. After the block is divided and marked into independent sub-areas, the environmental conditions inside the block are detected, and the parameters of buildings and other aspects in the sub-areas are collected. The risk coefficients of the relevant sub-areas are constructed from multiple sets of detection parameters, and the precise risk locations of each sub-area are marked and monitored based on the risk coefficients; S5. Pre-set the standard environment static object parameters, use the block building digital twin model to perform dynamic simulation tests on the commercial buildings and surrounding objects in each sub-area, select useful data from the acquired test data to perform multiple sets of targeted linear regression analysis, eliminate the subjective errors of each element, evaluate the block environment parameters, screen out risk factors from the environmental parameters according to the analysis conclusions, make adjustments, and provide relevant maintenance plans; S6. Monitor dynamic objects in the block, such as pedestrians, vehicles, mobile vendors, and pets, and focus on monitoring objects with abnormal behaviors. It can quickly determine the location and objects of emergencies, transmit them to the block management department to respond to emergencies, and quickly locate and handle them; S7. Based on the pre-risk assessment parameters of the block, as well as the risk assessment of the environment and mobile objects during the block's time-based use, a maintenance plan for each sub-area of ​​the block is established, and more complete fire-fighting, evacuation and escape passages are built according to specific usage conditions to ensure the safety of the block.

[0016] See also Figure 2 The digital twin model assessment of the block building includes: complete design picture assessment, fire protection measures, anti-theft measures, sewage exposure points, water, electricity and gas fault troubleshooting, building decay monitoring and congestion avoidance measures, among which: See also Figure 3 The complete design picture includes the shape of the block building, building appearance, night lighting, public facilities and street greening. The shape of the commercial buildings in the block, the exterior decoration pictures, the public facilities, green decoration and lighting settings of the streets are scanned by controlling the scanning device, and the scanning results are transmitted to the control end. The block data is established in the digital twin model of the block building, so that the digital twin model of the block building can set up specific commercial buildings and facilities in the block, and replicate the relevant locations one-to-one. The planning and design personnel judge whether the design picture in the sub-area within the digital twin model of the block building is complete, whether there is a need for improvement and room for improvement, so as to achieve aesthetic control of the appearance setting of the overall area in the block.

[0017] In the digital twin model of the block building in the preferred embodiment of the present invention, the architectural shape, building appearance, night lighting, public facilities and street greening of the entire digital block are included in the evaluation indicators of the complete design picture. The planning and design personnel or management personnel will check and judge whether there are any discontinuities, breaks and incoordination in the architectural shape and appearance, decorative lighting, and greening design of the entire digital block with the placement of public facilities, and feedback the abrupt design positions to the relevant merchants or persons in charge for rectification.

[0018] See also Figure 4Firefighting measures include details of firefighting pipeline facilities, fire alarms, fire passage planning and setting, fire water supply and pipeline interface parameter settings. The digital twin model of block buildings has high requirements on the scientificity and feasibility of firefighting facilities. Due to its commercial and ornamental value, the block has a high flow of people and goods, and there is a high risk of firefighting.

[0019] In the digital twin model of the block building in the preferred embodiment of the present invention, it monitors the block roads, business density, material storage, material properties and pedestrian and vehicle flow, calculates and evaluates through relevant models, judges the fire risks of relevant locations in each independent sub-area of ​​the block, and sets corresponding fire pipes in the businesses and roads in the corresponding blocks. The details of the fire protection facilities are transmitted to the control end, and the corresponding fire alarms are installed according to the block flow and building density settings. The details of the fire alarm settings and the fire passage planning settings are transmitted to the control end, and key marks are made in the digital twin model of the block building to facilitate the staff to focus on the protection of the fire passage to avoid congestion. The details of the fire water supply and pipeline interface settings are transmitted to the control end, so that the digital twin model of the block building can understand the regulation of fire safety, evaluate the fire safety of the block, and make adjustments based on the fire assessment results. If a sudden fire occurs, it can respond in time to ensure the safety of the block.

[0020] The model marks and evaluates the location and size, flood season or water storage capacity of rivers, canals and wells where the block is located. In the event of an emergency, it can mobilize relevant pumping equipment to assist firefighting equipment in rescue operations, effectively improving the block's response and execution capabilities in response to fire accidents.

[0021] See also Figure 5 The anti-theft measures include monitoring around businesses, monitoring hidden corners, roads, block entrances and exits, and anti-theft gates. There are a large number of businesses in digital blocks, and the flow of people is large, which poses a great risk of theft. The blocks have anti-theft protection measures for the property of businesses and mobile targets. Therefore, monitoring devices are installed around businesses, hidden corners, roads, and block entrances and exits in the block to achieve anti-theft protection for businesses, vendors, and mobile personnel.

[0022] In the digital twin model of the block building in the preferred embodiment of the present invention, the digital twin model of the block building performs peripheral monitoring based on the anti-theft needs of the merchants in the block, and cooperates with hidden corner monitoring, road monitoring and import and export monitoring to facilitate staff to quickly find monitoring points in relevant areas and angles, thereby providing good monitoring and processing for the anti-theft of merchants. At the same time, it can provide good anti-theft monitoring for people and items in the block. Setting up a complete monitoring line can realize monitoring of every corner within the block, effectively ensure the safety of people entering the block, quickly locate the location of emergencies, avoid children or pets from getting lost, and play a role in protecting the safety of the block. The digital twin model of the block building can evaluate the safety factor of the anti-theft doors installed by relevant merchants, and can set monitoring points based on the quality of the anti-theft doors of merchants.

[0023] See also Figure 6 , the monitoring of sewage exposure points includes independent sewage points of merchants, sewage pipes, self-discarding points and public sewage points. In the digital twin model of the block building in the preferred embodiment of the present invention, the block staff conducts regular inspections on the sewage points in the relevant areas, and inputs the conditions of the sewage points into the digital twin model of the block building. The management personnel evaluate the sewage exposure risk in the block through calculation in the digital twin model of the block building. It determines whether the merchant's sewage discharge has an exposure risk by locating the independent sewage points of the merchants, marking the sewage discharge volume and sewage discharge time nodes, and monitoring the merchant's sewage discharge volume and sewage discharge time nodes. It can judge the business situation of the merchants and facilitate their adjustment, supervise the sewage pipes, repair damaged and broken pipes, and ensure the normal operation of the block sewage system; monitor whether there are self-discarding points where pedestrians or merchants discard garbage without reporting, so as to avoid exposed pollution sources in the block; monitor public sewage points such as garbage stations, and prompt sanitation personnel to handle them to avoid garbage overflow affecting the environment and appearance of the block.

[0024] See also Figure 7 , Water, electricity and gas fault troubleshooting includes merchant power lines, public power lines, public water pipelines, merchant water pipelines and merchant gas pipelines. Merchants use power lines, water pipelines and gas pipelines frequently. The block building digital twin model has extremely high requirements for the safety and integrity of related water, electricity and gas equipment and link equipment. The power lines may be damaged, aged, or short-circuited. Water pipes and gas pipeline links may be damaged, aged, or broken. The block building digital twin model needs to evaluate the water, electricity and gas links based on the merchant's usage and link detection results to ensure the normal use of merchant energy.

[0025] Public power lines are mostly used for self-service charging of electric vehicles, street lights, decorative night lights, public area lighting, traffic lights and other tools. It is necessary to establish a relatively complete monitoring line to facilitate the digital twin model of block buildings to evaluate and maintain public electricity.

[0026] Public water pipelines are mostly used in public toilets, which require more frequent use of water supply pipelines and switches. The digital twin model of block buildings needs to evaluate and maintain public water use based on relevant usage data.

[0027] In the digital twin model of the block building in the preferred embodiment of the present invention, water, electricity and gas workers regularly inspect the water pipes, gas pipes, electric wires and meters and other facilities at relevant locations in the block, and feed back the inspection results to the digital twin model of the block building, and update the pipeline data of the digital twin model of the block building. When it is detected that relevant components need to be repaired or replaced or when maintenance calls are received from merchants and passers-by, the digital twin model of the block building will mark the fixed points and issue maintenance instructions to the relevant staff. After the staff completes the maintenance, they will update the fixed-point data in the model.

[0028] See also Figure 8 Building decay monitoring includes weather influencing factors, external force damage factors, air pollution component detection, environmental humidity and ambient temperature detection and analysis. Digital blocks have high requirements for the decoration of commercial buildings. The decoration and building materials of the exterior walls of commercial buildings are easily corroded by the environment and fall off, which has a negative impact on the entire commercial exterior surface and even the style of the block. In order to protect the overall image of the block and extend the service life of the commercial exterior walls, detection sensors are set at multiple locations in the block to detect environmental factors, thereby realizing the assessment of the risk of building decay. By analyzing the on-site weather conditions of the block, such as scorching sun, heavy rain or strong wind, the degree of influence of weather factors on building decoration is determined; the degree of corrosion is analyzed by the impact of external forces such as impact, flooding or water erosion on building decoration; the ornamental and decay effects of air pollution components such as haze and dust on building decoration are detected; the decay effects of environmental temperature and humidity on building decoration are detected by temperature and humidity detection sensors.

[0029] In the digital twin model of the block building in the preferred embodiment of the present invention, multiple sets of sensors are used to detect relevant environmental parameters of the block, and the inspection device is used to mark the decay points of the block buildings during the inspection process. A linear analysis is made based on the relevant detection and analysis data. While the construction of the block building decoration is realized, the protection of the block building decoration is strengthened, the negative impact of environmental factors on the building decoration is reduced, and the service life of the building decoration is extended.

[0030] See also Fig. 9Congestion avoidance measures include pedestrian flow distribution in the block, parking space occupancy, road accident monitoring, and distribution of mobile vendors and vehicle flow. Building a digital block to divert traffic and improve its commercial value. Therefore, it is very important to assess the risk of block congestion. A large number of people flocking into the block can easily cause block congestion and affect the experience of relevant personnel. In the digital twin model of the block building in the preferred embodiment of the present invention, the pedestrian flow and vehicle flow of each sub-area of ​​the block are detected according to the multiple groups of monitoring devices set up, and the drainage capacity of relevant merchants can be analyzed in the twin model, so that the digital twin model of the block building can modify the public facilities in the relevant areas according to the drainage capacity, thereby improving people's consumption and sightseeing experience; the number and location of the remaining parking spaces are monitored in real time throughout the model, and the relevant information can be displayed to the car owner at the entrance and exit of the block, so that the car owner can judge whether to drive the vehicle into the block to park and avoid block congestion.

[0031] The digital twin model of the block building also has a safety plan, which includes evacuation plans, evacuation routes and guidance devices. The relatively large control area and flow of people in the block lead to greater safety hazards. According to the actual scene of the block and usage needs, a reasonable and efficient evacuation plan is planned in the digital twin model of the block building. Through the design of the evacuation plan, evacuation simulation drills are carried out regularly. According to the evaluation of the safety plan, the setting of relevant evacuation channels in the block is improved, and the drill process is played in the form of animation on the public service billboards in the public areas of the block to achieve evacuation training and guidance for the flow of people, and cooperate with the guidance device to realize the guidance of the flow of people on the block. When sudden safety accidents may occur in the block, it is convenient to ensure the safe evacuation of people and avoid congestion and trampling.

[0032] The digital twin model of block buildings also has a commercial value assessment module. The digital twin model of block buildings counts the customer flow of relevant merchants and the number of repeated trips of the same customer, and uses the set calculation formula to conduct commercial value assessment. The digital block is extremely important for the judgment of the commercial value of merchants. The digital twin model of block buildings uses big data to perform facial recognition on the flow of people entering the block, calculates the flow of people entering relevant merchants, and can count the number of repeated trips of the same customer. It can assist in judging whether the products of relevant merchants are popular with the public. The data on the flow of people, flow distribution and time nodes in the block can be input into the simulation software for calculation, to determine the customer flow and lingering time of relevant merchants in the block, evaluate the commercial value of relevant merchants, reward relevant merchants, and encourage lagging merchants to make positive adjustments.

[0033] The digital twin model of block buildings includes a processor, a data acquisition module, a data feature extraction module, an algorithm input module, a permission module and a query processing module. The digital twin model of block buildings analyzes the data detected by the data acquisition module through the processor, so that the processor can perform relevant evaluations and issue corresponding work instructions to relevant work departments. The data feature extraction module can be set to extract the most representative groups of detection data, which is convenient for using feature data for evaluation and simulation. The algorithm input module can be set to input new simulation algorithms for the digital twin model of block buildings, so as to improve the applicability of the digital twin model of block buildings and provide new control ideas for digital blocks. The permission module can be set to control the permissions of personnel involved in the adjustment of the digital twin model of block buildings, so as to ensure the control security of the digital twin model of block buildings. The query processing module is set to provide a query interface for new entrants to the block, such as customers, so that customers can quickly enter the block to play.

[0034] The processor is equipped with a memory and a power supply device. The memory stores collected data and preset algorithm data. The memory is set to provide a data storage unit for a large number of detection sensors and cameras in the block, so that the processor can retrieve the detection data of the relevant sub-areas for evaluation and processing. The power supply device is set to provide power support for the entire control end to ensure that the control end can operate normally.

[0035] See also Fig.10 The digital twin model of the block building also has an inspection unit, which includes an inspection device. During use, the inspection device inspects the block to ensure the daily safety of the block. The working process of the inspection device is as follows: S1. The inspection device receives the inspection task and plans the inspection route and inspection object based on the inspection task and inspection authority; S2. After the inspection device obtains the inspection authority, it performs a one-way inspection on the inspection object according to the set inspection route, and transmits the inspection image to the control end in real time; S3. The inspection device detects the surroundings of the inspection object and makes a preliminary judgment on the current status of the inspection object; S4.1. If the inspection device believes that there is no abnormality in the inspection object, it sends a normal inspection signal to the control end, and the control end sends a working signal for the inspection device to continue moving forward, and the inspection device continues to operate along the set inspection route; S4.2. If the inspection device determines that there is an abnormality in the inspection object, it sends an inspection abnormality signal to the control end, and the control end retrieves the monitoring around the abnormal object to assist in determining whether there is really an abnormality and provides a solution; S5. After the control end completes processing of the abnormal inspection situation, the video of the abnormal object is temporarily archived and saved, and a retention period is set. It is deleted after confirming that the hidden danger has been eliminated, and the abnormal situation is recorded in the database.

[0036] Although the disclosure is disclosed as above, the protection scope of the disclosure is not limited thereto. Those skilled in the art may make various changes and modifications without departing from the spirit and scope of the disclosure, and these changes and modifications will fall within the protection scope of the present invention.

Claims

1. A digital block evaluation method based on big data, characterized in that: The steps include: S1. Use a scanning device to perform an all-round scan of the target block, and transmit the scanning information to the control end, accurately draw a 3D simulation map of the block, and divide the commercial buildings, road planning and public facilities in the block on the 3D simulation map; S2. After dividing the target block into several planned independent sub-areas, a horizontal detection line is constructed for monitoring the perimeter of the commercial buildings, and then a vertical detection line is constructed for the road planning area and the public area; S3. Use multiple camera components, sensor detection networks and communication components to collect environmental condition parameters of each sub-area in real time, detect whether the environment of each sub-area is in a normal state, and build an overall digital twin model of the block building based on the combination of each sub-area; S4. After the block is divided and marked into independent sub-areas, the environmental conditions inside the block are detected, and the parameters of buildings and other aspects in the sub-areas are collected. The risk coefficients of the relevant sub-areas are constructed from multiple sets of detection parameters, and the precise risk locations of each sub-area are marked and monitored based on the risk coefficients; S5. Pre-set the standard environment static object parameters, use the block building digital twin model to perform dynamic simulation tests on the commercial buildings and surrounding objects in each sub-area, select useful data from the acquired test data to perform multiple sets of targeted linear regression analysis, eliminate the subjective errors of each element, evaluate the block environment parameters, screen out risk factors from the environmental parameters according to the analysis conclusions, make adjustments, and provide relevant maintenance plans; S6. Monitor dynamic objects in the block, such as pedestrians, vehicles, mobile vendors, and pets, and focus on monitoring objects with abnormal behaviors. It can quickly determine the location and objects of emergencies, transmit them to the block management department to respond to emergencies, and quickly locate and handle them; S7. Based on the pre-risk assessment parameters of the block, as well as the risk assessment of the environment and mobile objects during the block's time-based use, a maintenance plan for each sub-area of ​​the block is established, and more complete fire-fighting, evacuation and escape passages are constructed according to specific usage conditions to ensure the safety of the block.

2. According to the big data-based digital block evaluation method of claim 1, it is characterized in that: The assessment aspects of the digital twin model of the block building include: complete design picture assessment, fire protection measures, anti-theft measures, sewage exposure points, water, electricity and gas fault investigation, building decay monitoring and congestion avoidance measures.

3. According to the big data-based digital block evaluation method of claim 1, it is characterized in that: The digital twin model of the block building also has a safety plan, including evacuation plans, evacuation routes and guidance devices.

4. The digital block evaluation method based on big data according to claim 1 is characterized in that: The block building digital twin model also has a commercial value assessment module. The block building digital twin model counts the customer flow of relevant merchants and the number of repeated trips by the same customer, and uses a set calculation formula to conduct commercial value assessment.

5. The digital block evaluation method based on big data according to claim 1 is characterized in that: The block building digital twin model includes a processor, a data acquisition module, a data feature extraction module, an algorithm input module, a permission module and a query processing module.

6. The method for evaluating digital blocks based on big data according to claim 5 is characterized in that: The processor is equipped with a memory and a power supply device, and the memory stores the collected data and preset algorithm data.

7. The digital block evaluation method based on big data according to claim 1 is characterized in that: The digital twin model of the block building is also provided with an inspection unit, which includes an inspection device. The working process of the inspection device is as follows: S1. The inspection device receives the inspection task and plans the inspection route and inspection object based on the inspection task and inspection authority; S2. After the inspection device obtains the inspection authority, it performs a one-way inspection on the inspection object according to the set inspection route, and transmits the inspection image to the control end in real time; S3. The inspection device detects the surroundings of the inspection object and makes a preliminary judgment on the current status of the inspection object; S4.

1. If the inspection device believes that there is no abnormality in the inspection object, it sends a normal inspection signal to the control end, and the control end gives a working signal for the inspection device to continue moving forward, and the inspection device continues to operate along the set inspection route; S4.

2. If the inspection device determines that there is an abnormality in the inspection object, it sends an inspection abnormality signal to the control end, and the control end retrieves the monitoring around the abnormal object to assist in determining whether there is really an abnormality and provides a solution; S5. After the control end completes processing of the abnormal inspection situation, the video of the abnormal object is temporarily archived and saved, and a retention period is set. It is deleted after confirming that the hidden danger has been eliminated, and the abnormal situation is recorded in the database.

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