Method, device, medium and equipment for optimizing deployment of monitoring equipment at event gathering places

Abstract

The present invention discloses a method for optimizing the deployment of monitoring equipment in an event gathering place, comprising: obtaining an area to be optimized; obtaining the location information of all monitoring equipment in the area to be optimized, and the event information captured by the monitoring equipment within a preset historical time range; obtaining key areas and non-key areas in the area to be optimized according to the location information of the monitoring equipment and the captured event information; and redeploying the location and quantity of monitoring equipment to increase the monitoring equipment in the key area and reduce the monitoring equipment in the non-key area. The present invention makes the deployment of monitoring equipment more purposeful, fully utilizes historical information to optimize the deployment location and quantity of monitoring equipment, improves the degree and utilization rate of monitoring equipment in the security field, and greatly improves the monitoring effect of events.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a method, device, medium and equipment for optimizing the deployment of monitoring equipment at an event gathering place. Background Art

[0002] In my country, road safety monitoring is an important part of public security. The existing technology mainly deploys at least one security monitoring device at key sections, key intersections, and key locations to monitor events that disrupt public security.

[0003] However, the existing technology is highly subjective when deploying security monitoring equipment. Some places deploy them evenly according to the size of the range, and some places deploy them evenly according to the length of the distance, which results in some events being monitored, some events not being monitored, and some monitoring equipment not monitoring events for a long time. The monitoring equipment does not play its role to the greatest extent, the utilization rate is low, and the monitoring effect needs to be improved. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, medium and equipment for optimizing the deployment of monitoring equipment at an event gathering place, so as to solve the problems in the security field that the existing monitoring equipment does not play its role to the maximum extent, has a low utilization rate and the monitoring effect needs to be improved.

[0005] A method for optimizing deployment of monitoring equipment at an event gathering place, the method comprising:

[0006] Get the area to be optimized;

[0007] Acquire location information of all monitoring devices in the area to be optimized, and event information captured by the monitoring devices within a preset historical time range;

[0008] Acquire key areas and non-key areas in the area to be optimized according to the location information of the monitoring device and the captured event information;

[0009] The location and quantity of monitoring equipment are redeployed to increase the number of monitoring equipment in the key area and reduce the number of monitoring equipment in the non-key area.

[0010] Optionally, acquiring the key area and the non-key area in the area to be optimized according to the location information of the monitoring device and the captured event information includes:

[0011] Dividing the area to be optimized into grids to obtain a plurality of grids;

[0012] Determine the monitoring devices included in each grid according to the location information of the monitoring devices;

[0013] Calculate the sum of the event information captured by the monitoring devices contained in each grid to obtain the number of events in each grid;

[0014] According to the number of events in each grid, grids that meet preset conditions are obtained as key areas, and grids that do not meet the preset conditions are obtained as non-key areas.

[0015] Optionally, the acquiring, according to the number of events in each grid, grids that meet preset conditions as key areas, and grids that do not meet preset conditions as non-key areas includes:

[0016] Traversing each grid, and comparing the number of events in the grid with a preset threshold;

[0017] If the number of events in the grid is greater than or equal to the preset threshold, the grid is regarded as a key area;

[0018] If the number of events in the grid is less than the preset threshold, the grid is regarded as a non-key area.

[0019] Optionally, the grid is a circle with a preset radius, a square with a preset side length, or a regular hexagon with a preset side length.

[0020] Optionally, the redeploying of the position and number of monitoring devices to increase the number of monitoring devices in the key area and reduce the number of monitoring devices in the non-key area includes:

[0021] Calculate the sum of the number of events in key areas and non-key areas, and calculate the sum of the number of monitoring devices in key areas and non-key areas;

[0022] Obtaining a first ratio of the sum of the number of events to the sum of the number of monitoring devices;

[0023] Calculating the ratio between the number of events in the key area and the first ratio to obtain a second ratio, and redeploying monitoring equipment in the key area with a number not less than the second ratio;

[0024] The ratio between the number of events in the non-key area and the first ratio is calculated to obtain a third ratio, and monitoring equipment is redeployed in the non-key area with a number not exceeding the third ratio.

[0025] A monitoring equipment optimization deployment device for an event gathering place, the device comprising:

[0026] A first acquisition module is used to acquire the area to be optimized;

[0027] A second acquisition module is used to acquire the location information of all monitoring devices in the area to be optimized, and the event information captured by the monitoring devices within a preset historical time range;

[0028] A third acquisition module is used to acquire the key area and non-key area in the area to be optimized according to the location information of the monitoring device and the captured event information;

[0029] The deployment module is used to redeploy the location and quantity of monitoring equipment to increase the monitoring equipment in the key area and reduce the monitoring equipment in the non-key area.

[0030] Optionally, the third acquisition module includes:

[0031] A division unit, used for dividing the area to be optimized into grids to obtain a plurality of grids;

[0032] A determination unit, configured to determine the monitoring devices included in each grid according to the location information of the monitoring devices;

[0033] A calculation unit, used to calculate the sum of event information captured by the monitoring devices contained in each grid, and obtain the number of events in each grid;

[0034] The acquisition unit is used to acquire the grids that meet the preset conditions as the key areas and the grids that do not meet the preset conditions as the non-key areas according to the number of events in each grid.

[0035] Optionally, the acquisition unit is used to:

[0036] Traversing each grid, and comparing the number of events in the grid with a preset threshold;

[0037] If the number of events in the grid is greater than or equal to the preset threshold, the grid is regarded as a key area;

[0038] If the number of events in the grid is less than the preset threshold, the grid is regarded as a non-key area.

[0039] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned method for optimizing the deployment of monitoring equipment at an event gathering place.

[0040] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for optimizing deployment of monitoring equipment at an event gathering place when executing the computer program.

[0041] The embodiment of the present invention obtains the area to be optimized; obtains the location information of all monitoring devices in the area to be optimized, and the event information captured by the monitoring devices within a preset historical time range; obtains the key area and non-key area in the area to be optimized based on the location information of the monitoring devices and the captured event information; redeploys the location and quantity of the monitoring devices to increase the monitoring devices in the key areas and reduce the monitoring devices in the non-key areas, so that the deployment of the monitoring devices can be more purposeful, and the deployment location and quantity of the monitoring devices can be optimized by making full use of the historical information, thereby improving the degree and utilization rate of the monitoring devices in the security field, and greatly improving the monitoring effect of the events. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0043] Figure 1 It is a flow chart of a method for optimizing deployment of monitoring equipment at an event gathering place provided by an embodiment of the present invention;

[0044] Figure 2 It is a flowchart of step S103 in the method for optimizing deployment of monitoring equipment at an event gathering place provided by an embodiment of the present invention;

[0045] Figure 3 It is a flowchart of step S204 in the method for optimizing deployment of monitoring equipment at an event gathering place provided by an embodiment of the present invention;

[0046] Figure 4 It is a flowchart of step S104 in the method for optimizing deployment of monitoring equipment at an event gathering place provided by an embodiment of the present invention;

[0047] Figure 5 It is a structural schematic diagram of a monitoring equipment optimization deployment device for an event gathering place provided by an embodiment of the present invention;

[0048] Figure 6 is a schematic diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] The embodiment of the present invention obtains the area to be optimized; obtains the location information of all monitoring devices in the area to be optimized, and the event information captured by the monitoring devices within a preset historical time range; obtains the key area and non-key area in the area to be optimized based on the location information of the monitoring devices and the captured event information; redeploys the location and quantity of the monitoring devices to increase the monitoring devices in the key areas and reduce the monitoring devices in the non-key areas, so that the deployment of the monitoring devices can be more purposeful, and the deployment location and quantity of the monitoring devices can be optimized by making full use of the historical information, thereby improving the degree and utilization rate of the monitoring devices in the security field, and greatly improving the monitoring effect of the events.

[0051] The following is a detailed description of the monitoring equipment optimization deployment method for event gathering places provided by this embodiment. Figure 1 As shown, the method for optimizing the deployment of monitoring equipment at the event gathering place includes:

[0052] In step S101, the area to be optimized is obtained.

[0053] Here, the area to be optimized refers to the area where the monitoring equipment inside needs to be optimized and deployed, usually where events gather and occur. It can be an administratively divided area, such as a specific city or town, or a designated area, such as a country park.

[0054] In step S102, the location information of all monitoring devices in the area to be optimized and the event information captured by the monitoring devices within a preset historical time range are obtained.

[0055] For the selected area to be optimized, the embodiment of the present invention obtains all monitoring devices and their location information in the area to be optimized. The monitoring devices include but are not limited to cameras and infrared human body sensors. For each monitoring device, a historical time range is preset, such as one year, one quarter, or one month. The preset historical time range is used as an adjustment period to obtain the event information captured by each monitoring device within the preset historical time range, thereby obtaining the event situation captured by each monitoring device, that is, the utilization degree of the monitoring performance.

[0056] In step S103, the key area and the non-key area in the area to be optimized are obtained according to the location information of the monitoring device and the captured event information.

[0057] The embodiment of the present invention analyzes event information, and selects key areas and non-key areas in the area to be optimized according to certain conditions. The key area refers to an area where the monitoring equipment inside it often captures event information, that is, event information occurs frequently in the key area, which can be determined by setting a frequency; the non-key area refers to an area where the monitoring equipment inside it does not often capture event information, that is, event information occurs rarely in the non-key area, which can also be determined by setting a frequency. Optionally, as a preferred example of the present invention, Figure 2 As shown, step S103 also includes:

[0058] In step S201, the area to be optimized is divided into grids to obtain a plurality of grids.

[0059] Optionally, the divided grids have the same size and shape. As a preferred example of the present invention, the grid may be a circle with a preset radius, a square with a preset side length, or a regular hexagon with a preset side length, such as a circle grid with a radius of 100 meters and a square grid with a side length of 100 meters.

[0060] In step S202, the monitoring devices included in each grid are determined according to the location information of the monitoring devices.

[0061] According to the above divided grids, the monitoring devices in the area to be optimized are determined according to their location information to determine the grids into which the monitoring devices fall. Then, each grid is traversed to count the monitoring devices and the number of monitoring devices falling into each grid.

[0062] In step S203, the sum of event information captured by the monitoring devices contained in each grid is calculated to obtain the number of events in each grid.

[0063] Traverse each grid and obtain the event information captured by each monitoring device in the grid within the historical time range. Count the event information captured by all monitoring devices in the grid to obtain the number of events corresponding to each grid within the historical time range. After step S203, the number of events corresponding to each grid can be obtained, that is, the number of events that occurred in the grid within the preset historical time range.

[0064] In step S204, according to the number of events in each grid, grids that meet the preset conditions are obtained as key areas, and grids that do not meet the preset conditions are obtained as non-key areas.

[0065] After obtaining the number of events in each grid, the embodiment of the present invention screens all grids to obtain key areas and non-key areas. Figure 3 As shown, in step S204, according to the number of events in each grid, grids that meet the preset conditions are obtained as key areas, and grids that do not meet the preset conditions are obtained as non-key areas, including:

[0066] In step S301, each grid is traversed, and the number of events in the grid is compared with a preset threshold.

[0067] The embodiment of the present invention presets a threshold value, and the preset threshold value is used as a criterion for determining whether a grid is a key area. Optionally, the preset threshold value is preferably 100.

[0068] The embodiment of the present invention compares the number of events in each grid with the preset threshold to determine whether the grid is a key area or a non-key area.

[0069] In step S302, if the number of events in the grid is greater than or equal to the preset threshold, the grid is taken as a key area.

[0070] In step S303, if the number of events in the grid is less than the preset threshold, the grid is regarded as a non-key area.

[0071] In an embodiment of the present invention, if the number of events in the grid is greater than or equal to the preset threshold, it indicates that the frequency of events monitored in the grid is relatively high, and the grid is regarded as a key area; if the number of events in the grid is less than the preset threshold, it indicates that the frequency of events monitored in the grid is relatively low, and the grid is regarded as a non-key area.

[0072] In step S104, the positions and quantities of monitoring devices are redeployed to increase the number of monitoring devices in the key area and reduce the number of monitoring devices in the non-key area.

[0073] After obtaining the key areas and non-key areas in the area to be optimized, the location and quantity of the monitoring equipment are redeployed according to the overall situation of the monitoring equipment in the area to be optimized. Figure 4 As shown, step S104 also includes:

[0074] In step S401 , the sum of the number of events in the key area and the non-key area is calculated, and the sum of the number of monitoring devices in the key area and the non-key area is calculated.

[0075] Here, the embodiment of the present invention respectively sums the number of events and the number of monitoring devices, calculates the sum of the number of events in the key area and the non-key area to obtain the number of all events in the area to be optimized, and calculates the sum of the number of monitoring devices in the key area and the non-key area to obtain the number of all monitoring devices in the area to be optimized.

[0076] In step S402, a first ratio of the sum of the number of events to the sum of the number of monitoring devices is obtained.

[0077] The embodiment of the present invention obtains the average frequency of events monitored by the monitoring devices in the area to be optimized by calculating a first ratio of the sum of the number of events to the sum of the number of monitoring devices.

[0078] In step S403, the ratio between the number of events in the key area and the first ratio is calculated to obtain a second ratio, and monitoring devices are redeployed in the key area with a number not less than the second ratio.

[0079] In step S404, the ratio between the number of events in the non-key area and the first ratio is calculated to obtain a third ratio, and monitoring devices are redeployed in the non-key area with a number not exceeding the third ratio.

[0080] Here, the embodiment of the present invention combines the average frequency of events monitored by the monitoring equipment in the area to be optimized to redeploy the monitoring equipment in the key area and the non-key area. For each key area, the ratio between the number of events in the key area and the first ratio is calculated to obtain a second ratio, which is used as the minimum number of monitoring equipment in the key area. When the monitoring equipment is redeployed in the key area, the number is not less than the second ratio, so as to increase the number of monitoring equipment in the key area. For each non-key area, the ratio between the number of events in the non-key area and the first ratio is calculated to obtain a third ratio, which is used as the maximum number of monitoring equipment in the non-key area. When the monitoring equipment is redeployed in the non-key area, the number is not more than the third ratio, so as to reduce the number of monitoring equipment in the non-key area. Through the present invention, the deployment of monitoring equipment can be made more purposeful, and the deployment location and number of monitoring equipment can be optimized by making full use of historical information, thereby improving the degree and utilization rate of monitoring equipment in the security field, and greatly improving the monitoring effect of events.

[0081] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0082] In one embodiment, the present invention further provides a monitoring device optimization deployment device for event gathering places, and the monitoring device optimization deployment device for event gathering places corresponds one-to-one with the monitoring device optimization deployment method for event gathering places in the above embodiment. Figure 5 As shown, the monitoring equipment optimization deployment device for the event gathering place includes a first acquisition module 51, a second acquisition module 52, a third acquisition module 53, and a deployment module 54. The detailed description of each functional module is as follows:

[0083] A first acquisition module 51 is used to acquire a region to be optimized;

[0084] The second acquisition module 52 is used to acquire the location information of all monitoring devices in the area to be optimized, and the event information captured by the monitoring devices within a preset historical time range;

[0085] A third acquisition module 53 is used to acquire the key area and the non-key area in the area to be optimized according to the location information of the monitoring device and the captured event information;

[0086] The deployment module 54 is used to redeploy the location and quantity of monitoring equipment to increase the number of monitoring equipment in the key area and reduce the number of monitoring equipment in the non-key area.

[0087] Optionally, the third acquisition module 53 includes:

[0088] A division unit, used for dividing the area to be optimized into grids to obtain a plurality of grids;

[0089] A determination unit, configured to determine the monitoring devices included in each grid according to the location information of the monitoring devices;

[0090] A calculation unit, used to calculate the sum of event information captured by the monitoring devices contained in each grid, and obtain the number of events in each grid;

[0091] The acquisition unit is used to acquire the grids that meet the preset conditions as the key areas and the grids that do not meet the preset conditions as the non-key areas according to the number of events in each grid.

[0092] Optionally, the acquisition unit is used to:

[0093] Traversing each grid, and comparing the number of events in the grid with a preset threshold;

[0094] If the number of events in the grid is greater than or equal to the preset threshold, the grid is regarded as a key area;

[0095] If the number of events in the grid is less than the preset threshold, the grid is regarded as a non-key area.

[0096] Optionally, the grid is a circle with a preset radius, a square with a preset side length, or a regular hexagon with a preset side length.

[0097] Optionally, the redeploying of the position and number of monitoring devices to increase the number of monitoring devices in the key area and reduce the number of monitoring devices in the non-key area includes:

[0098] Calculate the sum of the number of events in key areas and non-key areas, and calculate the sum of the number of monitoring devices in key areas and non-key areas;

[0099] Obtaining a first ratio of the sum of the number of events to the sum of the number of monitoring devices;

[0100] Calculating the ratio between the number of events in the key area and the first ratio to obtain a second ratio, and redeploying monitoring equipment in the key area with a number not less than the second ratio;

[0101] The ratio between the number of events in the non-key area and the first ratio is calculated to obtain a third ratio, and monitoring equipment is redeployed in the non-key area with a number not exceeding the third ratio.

[0102] For the specific definition of the monitoring equipment optimization deployment device at the event gathering place, please refer to the definition of the monitoring equipment optimization deployment method at the event gathering place mentioned above, which will not be repeated here. Each module in the above-mentioned monitoring equipment optimization deployment device at the event gathering place can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0103] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for optimizing the deployment of monitoring equipment at an event aggregation site is implemented.

[0104] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0105] Get the area to be optimized;

[0106] Acquire location information of all monitoring devices in the area to be optimized, and event information captured by the monitoring devices within a preset historical time range;

[0107] Acquire key areas and non-key areas in the area to be optimized according to the location information of the monitoring device and the captured event information;

[0108] The location and quantity of monitoring equipment are redeployed to increase the number of monitoring equipment in the key area and reduce the number of monitoring equipment in the non-key area.

[0109] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0110] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0111] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for optimizing the deployment of monitoring equipment at an event gathering place, characterized in that: The method comprises: Get the area to be optimized; Acquire location information of all monitoring devices in the area to be optimized, and event information captured by the monitoring devices within a preset historical time range; Acquire key areas and non-key areas in the area to be optimized according to the location information of the monitoring device and the captured event information; Redeploy the location and quantity of monitoring equipment to increase the number of monitoring equipment in the key areas and reduce the number of monitoring equipment in the non-key areas; The acquiring of the key area and the non-key area in the area to be optimized according to the location information of the monitoring device and the captured event information comprises: Dividing the area to be optimized into grids to obtain a plurality of grids; Determine the monitoring devices included in each grid according to the location information of the monitoring devices; Calculate the sum of the event information captured by the monitoring devices contained in each grid to obtain the number of events in each grid; According to the number of events in each grid, the grids that meet the preset conditions are obtained as key areas, and the grids that do not meet the preset conditions are obtained as non-key areas; The redeployment of the location and quantity of monitoring equipment to increase the number of monitoring equipment in the key area and reduce the number of monitoring equipment in the non-key area includes: Calculate the sum of the number of events in key areas and non-key areas, and calculate the sum of the number of monitoring devices in key areas and non-key areas; Obtaining a first ratio of the sum of the number of events to the sum of the number of monitoring devices; Calculating the ratio between the number of events in the key area and the first ratio to obtain a second ratio, and redeploying monitoring equipment in the key area with a number not less than the second ratio; The ratio between the number of events in the non-key area and the first ratio is calculated to obtain a third ratio, and monitoring equipment is redeployed in the non-key area with a number not exceeding the third ratio.

2. The method for optimizing deployment of monitoring equipment at an event gathering place according to claim 1, characterized in that: The method of obtaining, according to the number of events in each grid, grids that meet preset conditions as key areas and grids that do not meet preset conditions as non-key areas includes: Traversing each grid, and comparing the number of events in the grid with a preset threshold; If the number of events in the grid is greater than or equal to the preset threshold, the grid is regarded as a key area; If the number of events in the grid is less than the preset threshold, the grid is regarded as a non-key area.

3. The method for optimizing deployment of monitoring equipment at an event gathering place according to claim 1, characterized in that: The grid is a circle with a preset radius, a square with a preset side length, or a regular hexagon with a preset side length.

4. A monitoring equipment optimization deployment device for event gathering places, characterized in that: The device comprises: A first acquisition module is used to acquire the area to be optimized; A second acquisition module is used to acquire the location information of all monitoring devices in the area to be optimized, and the event information captured by the monitoring devices within a preset historical time range; A third acquisition module is used to acquire the key area and non-key area in the area to be optimized according to the location information of the monitoring device and the captured event information; A deployment module, used to redeploy the location and quantity of monitoring equipment to increase the number of monitoring equipment in the key area and reduce the number of monitoring equipment in the non-key area; The third acquisition module includes: A division unit, used for dividing the area to be optimized into grids to obtain a plurality of grids; A determination unit, configured to determine the monitoring devices included in each grid according to the location information of the monitoring devices; A calculation unit, used to calculate the sum of event information captured by the monitoring devices contained in each grid, and obtain the number of events in each grid; An acquisition unit, used for acquiring, according to the number of events in each grid, grids that meet preset conditions as key areas, and grids that do not meet preset conditions as non-key areas; The deployment module redeploys the location and quantity of monitoring devices to increase the number of monitoring devices in the key area and reduce the number of monitoring devices in the non-key area, including: Calculate the sum of the number of events in key areas and non-key areas, and calculate the sum of the number of monitoring devices in key areas and non-key areas; Obtaining a first ratio of the sum of the number of events to the sum of the number of monitoring devices; Calculating the ratio between the number of events in the key area and the first ratio to obtain a second ratio, and redeploying monitoring equipment in the key area with a number not less than the second ratio; The ratio between the number of events in the non-key area and the first ratio is calculated to obtain a third ratio, and monitoring equipment is redeployed in the non-key area with a number not exceeding the third ratio.

5. The monitoring equipment optimization deployment device for event gathering places as claimed in claim 4, characterized in that: The acquisition unit is used for: Traversing each grid, and comparing the number of events in the grid with a preset threshold; If the number of events in the grid is greater than or equal to the preset threshold, the grid is regarded as a key area; If the number of events in the grid is less than the preset threshold, the grid is regarded as a non-key area.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for optimizing deployment of monitoring equipment at an event gathering place as described in any one of claims 1 to 3 is implemented.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for optimizing the deployment of monitoring equipment at an event gathering place as described in any one of claims 1 to 3 is implemented.

Images