Energy-saving security projection device and control system thereof

Abstract

The application discloses an energy-saving safety measure projection device and a control system thereof, and belongs to the technical field of industrial safety warning control, aiming to solve the problems of high energy consumption, poor warning effect, insufficient multi-device linkage and the like of the existing projection device. The projection device in the target monitoring area is connected and the projection range is calculated, the space coordinates and working state of the control cabinet are collected, and a standardized data set is constructed; the safety measure type is matched according to the working state of the control cabinet, the control cabinets of the same type and similar positions are clustered and grouped, the candidate devices are screened and distributed in combination with the projection range of the device, and the basic control parameters are generated; the safety measure type of the control cabinet is monitored and changed, and the parameter mapping table is updated through load verification; the projection intensity parameters are adaptively adjusted in combination with the environmental light, the personnel activity state and the control cabinet material, and the basic control parameters are integrated to generate the control instructions of each device. The application realizes the balance between the accurate coverage and energy-saving operation of the safety measure projection, and improves the warning effect and energy utilization efficiency.

Description

Technical Field

[0001] This invention relates to the field of industrial safety warning and control technology, and more specifically to an energy-saving safety measure projection device and its control system. Background Technology

[0002] In industrial production and substation scenarios, to ensure the safe operation of control cabinets, it is often necessary to project safety warnings onto the cabinets using projection devices to remind relevant personnel of operating procedures and potential risks. Currently, projection devices used in such scenarios have several problems during operation, making it difficult to balance warning effectiveness with energy-saving requirements. Projection devices consume a lot of energy, limiting their usage time. For example, in environments with varying lighting or the presence or absence of personnel, the projection power cannot adaptively adjust, often maintaining a fixed high-intensity projection. When multiple control cabinets are located in the target area, multi-device coordination is insufficient, and multiple projection devices may repeatedly monitor the same area, resulting in overlapping projections and wasted resources. Furthermore, continuous visual monitoring for phenomena such as accidental entry into operating intervals also suffers from high energy consumption. Meanwhile, due to the differences in materials among different control cabinets, especially when facing glass control cabinet doors, the fixed projection parameters of existing projection devices are prone to interference such as reflections and ghosting, severely affecting the clarity of the warning effect. For control cabinets that are spatially dispersed or have different operating states, it is difficult to precisely adjust the coverage and projection angle of the projection device, which may result in incomplete coverage of some control cabinets, affecting the accuracy of the warning and wasting energy due to ineffective projection. In addition, when the operating state of the control cabinet changes and the type of safety measure projection needs to be changed, the existing system cannot quickly and accurately adjust the operating parameters of the projection device, which may lead to a mismatch between the projected content and the actual needs, further affecting the warning effect, and may also increase unnecessary energy consumption due to frequent adjustments. Therefore, in order to overcome these limitations, this invention proposes an energy-saving safety measure projection device and its control system. Summary of the Invention

[0003] To address the shortcomings of existing technologies, the present invention aims to provide an energy-saving safety measure projection device and its control system, thereby solving the problem of how to achieve energy-saving operation of the device while ensuring clear safety measure projection warnings and accurate image coverage on the control cabinet.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A control system for an energy-saving safety projection device includes:

[0006] Connect the energy-saving safety measure projection device within the target monitoring area and calculate the projection range, collect the spatial coordinates and working status of the control cabinet, and construct a standardized dataset;

[0007] Match the safety measure projection type according to the working status of the control cabinet, and cluster the control cabinets. Combine the projection range of the energy-saving safety measure projection device to construct a candidate projection device list for the cluster group, which is used to allocate the energy-saving safety measure projection device in the cluster group. Based on the spatial relationship between the spatial area of ​​the cluster group and the position of the energy-saving safety measure projection device, generate the basic control parameters of the energy-saving safety measure projection device and construct a parameter mapping table.

[0008] The system monitors changes in the projection type of the safety measures of the control cabinet, identifies the control cabinet to be adjusted, and determines whether the current parameter mapping table can support the adjustment requirements through load verification. If it can support the requirements, the system partially updates the parameter mapping table; if it cannot support the requirements, the system triggers parameter mapping table reconstruction to update the parameter mapping table.

[0009] By combining ambient light sensing data, personnel activity status, and control cabinet material, the projection intensity parameter is adaptively adjusted, and control commands for each energy-saving safety measure projection device are generated based on the basic control parameters.

[0010] Specifically, the steps for determining whether the current parameter mapping table can handle adjustment requirements through load verification include:

[0011] Extract the updated safety measures type and spatial coordinates of the control cabinet to be adjusted. Based on the spatial index table of the standardized dataset, retrieve the adjacent clusters of the control cabinet to be adjusted and extract their safety measures type information.

[0012] The updated safety measure type is compared with the safety measure type of each adjacent cluster group to construct a set of adjacent groups of the same type;

[0013] For each cluster group in the set of adjacent groups of the same type, obtain its associated energy-saving safety measure projection device according to the parameter mapping table and query its occupancy status, and filter out the cluster groups with occupancy status that can be allocated to form an allocable subset of the same type of groups.

[0014] Calculate the remaining allocable area of ​​the energy-saving safety measure projection device associated with the subset of allocable groups of the same type, and at the same time calculate the required projection area value by combining the preset projection area standard corresponding to the updated safety measure type of the control cabinet to be adjusted.

[0015] Traverse the energy-saving safety measure projection devices associated with the same type of allocable group subset. If there is an energy-saving safety measure projection device with a remaining allocable area greater than the required projection area, mark it as an allocable device and determine whether the current parameter mapping table can accommodate the adjustment requirement; otherwise, execute the idle device judgment process.

[0016] Specifically, the steps for clustering and grouping control cabinets include:

[0017] The safety measure type information and spatial coordinates of the control cabinets are extracted from the standardized dataset, and a spatial distribution index table of the control cabinets is constructed. The control cabinets are stored hierarchically according to the safety measure type to form a set of control cabinets of the same type.

[0018] Configure the neighborhood radius and minimum number of contained points for the density clustering algorithm;

[0019] Traverse the ungrouped control cabinets and use a range query algorithm based on the spatial distribution index table to retrieve control cabinets of the same type within the neighborhood radius; if the number of control cabinets of the same type in the neighborhood of a control cabinet reaches the minimum number of contained points, then mark it as the initial cluster group;

[0020] Based on spatial connectivity constraints, the neighborhood search operation is repeatedly performed to form standard clusters that are spatially continuous and physically reachable; and isolated control cabinets are identified and marked as special clusters.

[0021] For each cluster group, which includes a standard cluster group and a special cluster group, the smallest external spatial coverage area that includes the coordinates of the control cabinets within the cluster group and is parallel to the ground is calculated as the spatial coverage area.

[0022] Specifically, the steps for constructing a list of candidate projection devices for cluster groups include:

[0023] Extract the spatial coordinate range of the spatial coverage area of ​​the cluster group, map it to the local coordinate system of the energy-saving safety measure projection device, and add the normal vector parameters of the surface of the spatial coverage area;

[0024] Traverse the energy-saving safety measure projection devices, call their projection range, and calculate the spatial intersection ratio between the projection range of the energy-saving safety measure projection device and the spatial coverage area of ​​the cluster group as the spatial matching degree.

[0025] The projection direction matching degree is calculated by the cosine of the angle between the optical axis of the energy-saving safety projection device and the normal vector of the surface of the spatial coverage area.

[0026] Configure matching thresholds, filter energy-saving safety measure projection devices whose spatial matching degree and projection direction matching degree are both greater than the corresponding matching thresholds, and construct a candidate projection device list.

[0027] Specifically, the specific steps for the energy-saving safety measure projection device to allocate cluster groups include:

[0028] Calculate the coverage ratio of each candidate projection device to the cluster group and the distance from the center of the cluster group, and calculate the load rate of the energy-saving safety measure projection device by the ratio of the total projection area of ​​the cluster groups allocated to the candidate projection devices to the projectable projection area.

[0029] A multi-objective optimization model is constructed using the analytic hierarchy process to transform the coverage ratio, distance from the cluster center, and load rate into a unified evaluation dimension, and to calculate and rank the quantitative scores of candidate projection devices.

[0030] The target allocation device for the cluster group is selected based on the quantitative scoring and ranking results. At the same time, the pre-allocation load rate of the candidate projection device is updated by accumulating the proportion of the projected area of ​​the current cluster group's spatial coverage area.

[0031] The occupancy status of the energy-saving safety measure projection device is marked according to the ratio of the device's pre-allocated load rate to its load-bearing capacity.

[0032] Specifically, the steps for constructing the parameter mapping table include:

[0033] Extract the center coordinates, normal vector parameters, and deployment coordinates of the corresponding energy-saving safety measure projection device of the spatial coverage area of ​​the cluster group. Combine the normal vector of the spatial coverage area to calculate the relative displacement vector between the optical axis of the energy-saving safety measure projection device and the target plane of the control cabinet.

[0034] Taking the deployment coordinates of the energy-saving safety measure projection device as the origin, the horizontal projection angle and pitch angle of the energy-saving safety measure projection device are calculated by combining the displacement components in the horizontal and vertical directions with the corresponding components of the normal vector of the spatial coverage area.

[0035] By combining the lens focal length of the energy-saving safety device projection device, the distance to the cluster group, and the size of the spatial coverage area, the lens scaling factor is calculated to determine the projection range parameters.

[0036] By associating cluster group safety measure type information with horizontal projection angle, pitch angle, and projection range parameters, the basic control parameters of the energy-saving safety measure projection device are constructed.

[0037] Obtain the basic control parameters of the energy-saving safety measure projection device in the target monitoring area and construct a parameter mapping table.

[0038] Specifically, the steps for updating the parameter mapping table include:

[0039] When it is determined that the current parameter mapping table can accommodate the adjustment requirements and there are assignable devices, extract the unique identifier of the assignable device and the update safety measure type and spatial coordinates of the control cabinet to be adjusted;

[0040] Based on the deployment coordinates of the allocable device and the coordinates of the control cabinet to be adjusted, the horizontal projection angle, pitch angle and projection range parameters are recalculated to generate incremental basic control parameters and update the parameter mapping table.

[0041] When it is determined that the current parameter mapping table can accommodate the adjustment requirements and there is an idle energy-saving safety measure projection device, the idle energy-saving safety measure projection device of the control cabinet to be adjusted is matched according to the spatial distance between the idle energy-saving safety measure projection device and the control cabinet to be adjusted.

[0042] Based on the updated safety measures type and spatial coordinates of the control cabinet to be adjusted, calculate the horizontal projection angle, pitch angle and projection range parameters of the idle energy-saving safety measures projection device, generate basic control parameters, add the association record between the control cabinet to be adjusted and the target device in the parameter mapping table, and update the parameter mapping table.

[0043] When it is determined that the current parameter mapping table cannot accommodate the adjustment requirements, the parameter mapping table is reconstructed and a new parameter mapping table is generated.

[0044] Specifically, the steps for adaptively adjusting the projection intensity parameters include:

[0045] Collect real-time light intensity data for each cluster group and classify the light intensity levels; output the initial adjustment range of the projected light intensity based on the light mapping rule table.

[0046] Personnel detection is performed on each cluster group to identify personnel activity status, which includes the presence of personnel activity and the absence of personnel activity.

[0047] When the activity status is "there is activity", the projected light intensity is set to the upper limit of the initial adjustment range; when the activity status is "no activity", the projected light intensity is determined by taking the value from the lower limit of the initial adjustment range upward according to the distribution position of the light intensity data in the corresponding light level and according to the preset ratio.

[0048] Specifically, the steps for adaptively adjusting the projection intensity parameters also include:

[0049] Obtain the control cabinet material in the cluster group, and determine if the control cabinet material in the cluster group is unique. If so, set the projection color temperature and polarization angle according to the material mapping rule table; otherwise, use a dynamic switching method to set the projection color temperature and polarization angle, i.e.:

[0050] The distribution frequency of control cabinets of different materials within the statistical cluster is calculated, and the corresponding projection color temperature and polarization angle are matched for each material type. The projection color temperature and polarization angle are cyclically activated according to the switching cycle set by the distribution frequency.

[0051] An energy-saving safety projection device comprises a projector body, an ambient light sensor, a personnel detector, a material identifier, a controller, and a communicator.

[0052] The projector body is equipped with a light intensity regulator, a color temperature regulator, and a polarization angle regulator, which are used to form a safety warning image based on the safety projection type. An ambient light sensor and a personnel detector are deployed on the control cabinet to adaptively adjust the projected light intensity. A material identifier is used to obtain the material of the control cabinet. The controller is connected to the projector body, the ambient light sensor, the personnel detector, and the material identifier, and has pre-stored a light mapping rule table and a material mapping rule table to generate adjustment commands and send them to the projector body. A communicator is connected to the controller to realize data transmission between the controller and the control system.

[0053] The beneficial effects of this invention are:

[0054] This application constructs a standardized dataset through information collection, clusters and groups control cabinets based on their status, optimizes the allocation of devices, and generates a dynamic parameter mapping table. It monitors status changes and verifies load to achieve partial updates or reconstruction of the parameter mapping table. It also adaptively adjusts projection intensity parameters based on ambient light, personnel activity, and control cabinet material, and integrates these features to generate control commands. These features work synergistically to effectively solve problems in existing technologies such as high energy consumption of projection devices, significant material-dependent effects on warning effects, and insufficient multi-device linkage. This not only achieves precise coverage of the control cabinet by the safety projection, ensuring clear and legible warning content and avoiding interference such as reflections and ghosting, but also significantly reduces energy consumption through adaptive adjustment. Simultaneously, it improves the efficiency of multi-device collaborative operation, reduces resource waste, and ensures rapid response and maintains a stable and reliable safety warning effect when the control cabinet status changes. Attached Figure Description

[0055] Figure 1 This is a schematic diagram of the control system of an energy-saving safety projection device according to the present invention;

[0056] Figure 2 This is a flowchart illustrating the clustering and grouping process of this invention;

[0057] Figure 3 A flowchart illustrating the process of screening and allocating energy-saving safety measure projection devices to each group in this invention;

[0058] Figure 4 This is a flowchart for determining whether the current parameter mapping table can accommodate adjustment requirements according to the present invention;

[0059] Figure 5 This is a flowchart illustrating the adaptive adjustment of projection intensity parameters for this invention. Detailed Implementation

[0060] Please see Figure 1 This embodiment introduces a control system for an energy-saving safety projection device, including an information acquisition module, a projection planning module, an adaptive adjustment module, and an energy-saving adjustment module.

[0061] The information acquisition module establishes connections with the control terminal and various energy-saving safety measure projection devices within the target monitoring area via communication protocols. It acquires the network identifier, deployment location, and hardware parameters of the projection devices and calculates their projection range. It also collects and stores the real-time spatial coordinates and operating status of the control cabinets through positioning and sensing methods. All acquired data is standardized to construct a standardized dataset of the control cabinets in a unified coordinate system, providing comprehensive and accurate basic information support for subsequent modules. Specifically, it establishes bidirectional communication with the control terminal via industrial Ethernet or wireless communication protocols, sending query commands containing device identifiers. The control terminal returns the network addresses, physical deployment coordinates, and device models of all energy-saving safety measure projection devices within the target monitoring area. Parameter reading commands are sent to each energy-saving safety measure projection device to obtain its hardware parameters, including lens focal length, projection angle range, and maximum projection distance. Combined with the deployment coordinates, the projection range of each energy-saving safety measure projection device is calculated—that is, a conical space formed by the device as its vertex based on the focal length and angle—and stored as a set of spatial coordinates, serving as the projection range of the energy-saving safety measure projection device. By deploying positioning tags or identification devices in the monitoring area, the real-time spatial coordinates of each control cabinet are acquired. Through the interfaces or status sensors built into the control cabinets, their operating status, including running, maintenance, and shutdown, is read, and the control cabinet coordinates are associated with and stored. All collected projection device range, control cabinet coordinates, and status data are converted into structured data in a unified coordinate system, data acquisition timestamps are added, and outliers, such as coordinates exceeding physical limits, are removed to form a standardized dataset.

[0062] In this embodiment, the information acquisition module can achieve comprehensive and accurate information acquisition of energy-saving safety measure projection devices and control cabinets within the target monitoring area. Through two-way communication and parameter reading, it fully collects the network identifier, deployment location, and hardware parameters of the projection devices, and combines this with spatial calculations to form accurate projection range data, providing a reliable basis for subsequent projection planning. Through positioning and status sensing technology, it accurately acquires and stores the spatial coordinates and working status of the control cabinets, ensuring that the location of each control cabinet and its corresponding safety measure requirements are clearly identifiable. The standardized coordinate system structured dataset, after standardization processing, removes outliers and marks timestamps to ensure data consistency, timeliness, and accuracy, laying a high-quality data foundation for the subsequent collaborative work of various modules and avoiding projection planning deviations due to information errors.

[0063] The projection planning module is used to centralize the working status information of control cabinets in a standardized dataset and match the corresponding safety measure projection type according to preset rules; it clusters control cabinets with the same safety measure type and similar spatial locations and determines the spatial coverage area of ​​each group; it selects and assigns energy-saving safety measure projection devices to each group based on the projection range of each energy-saving safety measure projection device; and it calculates basic control parameters such as projection angle and projection range based on the positional relationship between each group's spatial area and the corresponding projection device, and constructs a dynamic parameter mapping table for the target monitoring area to achieve accurate and coordinated safety measure projection planning for control cabinets within the target area. Specifically, based on the operating status of the control cabinet, a preset mapping rule library is invoked to match a unique safety measure type for each control cabinet; a density clustering algorithm is used to group control cabinets with the same safety measure type and spatial distance within a preset range into the same group, and the minimum external space coverage area of ​​each group containing all control cabinets is output; the projection range of all energy-saving safety measure projection devices is traversed, and the intersection ratio of their cone range with the external space coverage area of ​​each group is calculated. Devices with an intersection ratio that meets the preset standard are selected as candidates and sorted by priority based on the number of control cabinets covered and the closest distance to the group center, and the optimal device is selected for each group; based on the center coordinates of the external space coverage area of ​​each group and the device deployment coordinates, the projection angles such as horizontal angle and pitch angle are calculated through trigonometric operations, and the projection range is calculated according to the size of the external space coverage area of ​​the group and the focal length of the device, that is, the lens scaling parameters are adjusted so that the projected image just covers the space coverage area.

[0064] In this embodiment, the projection planning module ensures that each control cabinet corresponds to the correct safety measure projection type by accurately matching the working status of the control cabinet with preset rules, providing a clear content basis for subsequent projections. By clustering and grouping control cabinets of the same type and in close proximity, combined with the screening and optimal allocation of the projection range of the projection device, it achieves the energy-saving effect of covering the most targets with the fewest devices, avoiding resource waste. With the help of trigonometric operations and parameter calculations, the projection angle and range are accurately adapted to each group of spatial areas, ensuring that the projected image completely covers the target control cabinet and improving the accuracy of safety measure warnings. The generated basic control parameters provide a unified basis for the coordinated operation of the projection devices, realizing the orderly cooperation of multiple devices in the target area and ensuring the synergy and efficiency of safety measure projection.

[0065] Please see Figure 2 Preferably, the specific steps for clustering include:

[0066] Safety measure type information and spatial coordinates of all control cabinets are extracted from the standardized dataset. A spatial distribution index table of control cabinets is constructed using spatial indexing technology. The extracted control cabinet information is stored hierarchically according to the safety measure type, forming several sets of control cabinets of the same type. The index table supports fast retrieval by spatial region, solving the problem of low efficiency of traditional linear traversal.

[0067] For each set of control cabinets of the same type, the average spacing, density gradient, and distribution entropy value of the control cabinets within the set are calculated. A parameter adaptive adjustment model is constructed to configure the neighborhood radius parameter and the minimum number of contained points parameter for the density clustering algorithm. The adaptive adjustment model dynamically generates parameter values ​​based on the quantification results of the average spacing, density gradient, and distribution entropy value. When the density gradient is greater than a preset threshold, the neighborhood radius is set to a certain proportion of the average spacing and the minimum number of contained points is reduced. When the distribution entropy value is high, the neighborhood radius is set to another proportion of the average spacing and the minimum number of contained points is increased. The neighborhood radius is used to define the spatial proximity range, and the minimum number of contained points is used to determine the validity of the core point.

[0068] Traverse all control cabinets of the same type that are not included in any group in the set of control cabinets. Take the control cabinet being traversed as the core point, use the range query algorithm based on the spatial distribution index table to retrieve other control cabinets of the same type within its neighborhood radius, and record the retrieval results.

[0069] The number of control cabinets of the same type retrieved in the neighborhood of the core point is counted. If the count reaches the minimum number of included points configured, the core point and all control cabinets of the same type in the neighborhood are marked as an initial cluster group. At the same time, the spatial connectivity of each control cabinet in the group is determined and recorded by the path planning algorithm.

[0070] Each control cabinet in the initial cluster group is treated as a new core point. Based on spatial connectivity constraints, the neighborhood search operation is repeatedly performed. Only new control cabinets of the same type that have a reachable path with existing members in the group are included until there are no new members that meet the conditions in the neighborhood, thus forming a standard cluster group that is spatially continuous and physically reachable.

[0071] Returning to the traversal process, continue to perform core point setting, neighborhood search, and group expansion operations on the remaining ungrouped control cabinets in the same type of control cabinet set. Identify isolated control cabinets that can never meet the minimum number of contained points, and mark them separately as special cluster groups to ensure that all control cabinets in this set are assigned to the corresponding cluster groups.

[0072] For each cluster, the spatial coordinates of all control cabinets within the cluster are calculated to find the minimum outer spatial coverage area that can completely contain these coordinates and remain parallel to the ground. This minimum outer spatial coverage area is determined as the spatial coverage area of ​​the corresponding cluster. At the same time, the center offset of the spatial coverage area is calculated to compensate for projection distortion.

[0073] Please see Figure 3 Preferably, the specific steps for screening and assigning energy-saving safety measure projection devices to each group include:

[0074] Extract the spatial coordinate range of the spatial coverage area corresponding to each cluster group, and map it to the local coordinate system of the energy-saving safety measure projection device through coordinate transformation. At the same time, add the normal vector parameter of the surface of the spatial coverage area to characterize the installation orientation of the control cabinet.

[0075] Traverse all energy-saving safety measure projection devices within the target monitoring area and call up their projection ranges. For each device, use three-dimensional spatial Boolean operations to solve the spatial intersection between its projection range and the spatial coverage area of ​​the current cluster group. Calculate the ratio of the spatial intersection volume to the volume of the outer spatial coverage area as the spatial matching degree. At the same time, calculate the projection direction matching degree by using the cosine of the angle between the optical axis direction vector of the energy-saving safety measure projection device and the normal vector of the surface of the spatial coverage area. Comprehensively evaluate the coverage effect.

[0076] The spatial matching degree and the projection direction matching degree are compared with the corresponding preset matching degree thresholds, including the spatial matching degree threshold and the projection direction matching degree threshold. Energy-saving safety measure projection devices with both spatial matching degree and projection direction matching degree greater than the corresponding matching degree threshold are selected as candidate projection devices, and a candidate projection device list for the current cluster group is constructed.

[0077] If the candidate projection device list is empty, the projection range is recalculated by dynamically adjusting the distortion correction coefficient of the energy-saving safety measure projection device. After expanding the screening range, the spatial matching ratio and projection direction matching ratio are recalculated. If there are still no candidate projection devices after adjustment, the cluster group is marked as the manual intervention group, indicating that a temporary projection scheme needs to be manually configured to meet the safety measure warning requirements.

[0078] For each candidate projection device in the candidate projection device list, calculate the proportion of the number of control cabinets covered by its projection range in the current cluster group relative to the total number in the group, the distance from the center of the cluster group, and calculate the load rate of the energy-saving safety measure projection device by the ratio of the total projection area of ​​the cluster group already allocated to the device to the projection area that can be carried. Construct a multi-objective optimization model using the analytic hierarchy process to transform the coverage ratio, distance, and load rate into a unified evaluation dimension. Calculate the quantitative score of the candidate projection devices and rank them using a weighted summation algorithm.

[0079] Based on the ranking results, the candidate projection device with the highest quantitative score is selected as the target allocation device for the current cluster group. The cluster group includes standard cluster group and special cluster group. The correspondence between the unique identifier of the target allocation device and the cluster group identifier is recorded. At the same time, the pre-allocation load rate of the candidate projection device is updated by accumulating the projection area ratio of the spatial coverage area of ​​the current cluster group.

[0080] The occupancy status of the energy-saving safety projector is marked according to the ratio of the pre-allocated load rate to the load it can bear. The occupancy status includes: allocable and unallocable. That is, when the ratio is less than or equal to the preset load threshold, it is marked as allocable, allowing the device to be further allocated to other cluster groups; when the ratio is greater than the preset load threshold, it is marked as unallocable, prohibiting the device from being further allocated, so as to ensure the stability of device operation and projection effect.

[0081] Preferably, the specific steps for constructing the parameter mapping table for the target monitoring area include:

[0082] Extract the center coordinates and normal vector parameters of the spatial coverage area of ​​the cluster group, as well as the deployment coordinates of the energy-saving safety measure projection device assigned to the cluster group; solve the relative displacement vector of the two coordinate points in three-dimensional space through spatial coordinate calculation, and calculate the relative displacement vector between the optical axis of the energy-saving safety measure projection device and the target plane of the control cabinet by combining the normal vector of the spatial coverage area, so as to characterize the relative position and direction relationship between the two.

[0083] Based on the calculated relative displacement vector, taking the deployment coordinates of the energy-saving safety measure projection device as the origin, the horizontal projection angle of the energy-saving safety measure projection device rotating around the vertical axis is calculated by combining the displacement component on the horizontal plane with the horizontal component of the normal vector of the spatial coverage area. The pitch angle of the energy-saving safety measure projection device rotating around the horizontal axis is calculated by combining the displacement component in the vertical direction with the vertical component of the normal vector of the spatial coverage area, ensuring that the projection direction maintains the preset optimal incident angle with the target plane and points towards the center of the cluster group.

[0084] The length and width dimensions of the spatial coverage area of ​​the cluster group are extracted. Combined with the lens focal length of the corresponding energy-saving safety device and the distance between the spatial coverage area and the energy-saving safety device, the lens scaling factor is calculated using optical imaging formulas. Based on this scaling factor and the size of the spatial coverage area, the projection range parameters are determined, including the horizontal and vertical coverage dimensions of the image and edge redundancy. This ensures that the projected image can still completely cover the spatial coverage area after considering distortion. The safety type information of the cluster group is retrieved and associated with the calculated horizontal projection angle, pitch angle, and projection range parameters to construct basic control parameters. The safety type information includes dynamic display logic, such as flicker frequency and color switching rules.

[0085] The basic control parameters of the energy-saving safety measure projection device in the target monitoring area are obtained, and a parameter mapping table is constructed. The parameter mapping table is associated with the cluster group identifier, the unique identifier of the energy-saving safety measure projection device and the corresponding basic control parameters, so as to realize the centralized management and rapid query of parameters.

[0086] The adaptive adjustment module monitors changes in the projection type of safety measures for control cabinets, identifies the control cabinets to be adjusted, and determines whether the current parameter mapping table can accommodate the adjustment requirement based on the mapping relationship between cluster groups and energy-saving safety measure projection devices in the parameter mapping table. If it can accommodate the requirement, it partially updates the parameter mapping table; if it cannot, it triggers parameter mapping table reconstruction to update the parameter mapping table. Specifically, it determines the relevant attributes of the control cabinets to be adjusted by acquiring change information from the standardized dataset, retrieves adjacent cluster groups using spatial indexing, and performs load verification based on safety measure type matching, device occupancy status, and load capacity assessment. If it can accommodate the requirement, it adjusts the basic control parameters and updates the parameter mapping table and device status information according to the availability or vacancy of devices. If it cannot accommodate the requirement, it initiates the overall reconstruction process of the parameter mapping table.

[0087] In this embodiment, the adaptive adjustment module responds in real time to changes in the control cabinet's safety measure projection type, ensuring that the safety measure projection always matches the actual state of the control cabinet. This effectively avoids delays or errors in projection information caused by state changes, improving the accuracy and timeliness of safety measure warnings. By performing load verification based on the mapping relationship of the parameter mapping table, it prioritizes using allocable devices or idle devices of the same type to adjust parameters, avoiding unnecessary overall network updates, reducing resource consumption and operational complexity, and maintaining the stability and operational efficiency of the network structure. When the network cannot support adjustment needs, an overall reconstruction mechanism is triggered, strictly following the clustering and grouping and device allocation logic of the projection planning module to ensure that the changed safety measure projection requirements are met. This enhances the system's adaptability to complex operating conditions and ensures that the parameter mapping table maintains its coordination and integrity after reconstruction, providing continuous and reliable safety measure projection support for control cabinets within the target monitoring area.

[0088] Please see Figure 4 Preferably, the specific steps for determining whether the current parameter mapping table can accommodate the adjustment requirements include:

[0089] Extract the updated safety measures type and spatial coordinates of the control cabinet to be adjusted. Based on the spatial index table of the standardized dataset, retrieve the adjacent clusters of the control cabinet to be adjusted and extract the safety measures type information of each adjacent cluster.

[0090] The updated safety measures type of the control cabinet to be adjusted is compared with the safety measures type of each adjacent cluster group. Adjacent cluster groups with the same safety measures type are selected to form a set of adjacent groups of the same type. If there are no adjacent cluster groups of the same type, then an idle device is determined.

[0091] For each cluster in the set of adjacent groups of the same type, obtain its associated energy-saving safety measure projection device according to the parameter mapping table, query the occupancy status of the energy-saving safety measure projection device, filter the clusters with occupancy status that can be allocated, and form an allocable subset of the same type of groups; if the occupancy status of all clusters in the set of adjacent groups of the same type is not allocable, then perform idle device judgment.

[0092] Calculate the remaining allocable area of ​​the energy-saving safety measure projection devices associated with the subset of allocable groups of the same type. That is, subtract the sum of the pre-allocated projection areas from the borne projection area to obtain the remaining allocable area. At the same time, combine the preset projection area standard corresponding to the updated safety measure type of the control cabinet to be adjusted to calculate the required projection area value of the control cabinet to be adjusted.

[0093] Traverse the energy-saving safety measure projection devices associated with the same type of allocable subset. If the remaining allocable area of ​​an energy-saving safety measure projection device is greater than the projection area requirement of the control cabinet to be adjusted, mark it as an allocable device and determine whether the current parameter mapping table can accommodate the adjustment requirement; otherwise, execute the idle device judgment process, i.e.:

[0094] Search for idle energy-saving safety measure projection devices within the target monitoring space. If an idle energy-saving safety measure projection device exists, determine that the current parameter mapping table can accommodate the adjustment requirements; otherwise, determine that the current parameter mapping table cannot accommodate the adjustment requirements.

[0095] Preferably, the specific steps for updating the parameter mapping table include:

[0096] When it is determined that the current parameter mapping table can accommodate the adjustment requirements and there are assignable devices, the unique identifier of the assignable device and the update safety measure type and spatial coordinates of the control cabinet to be adjusted are extracted.

[0097] Based on the deployment coordinates of the allocable device and the coordinates of the control cabinet to be adjusted, the correction values ​​of the horizontal projection angle and pitch angle are recalculated through trigonometric geometric operations. Combined with the focal length of the device lens and the distance between the two, the lens scaling factor is adjusted using the optical imaging formula to determine the projection range parameters, generate incremental basic control parameters, and update the parameter mapping table.

[0098] When it is determined that the current parameter mapping table can accommodate the adjustment requirements and there are idle energy-saving safety measure projection devices, the idle energy-saving safety measure projection devices of the control cabinet to be adjusted are matched according to the spatial distance between the idle energy-saving safety measure projection devices and the control cabinet to be adjusted, and the occupancy status and pre-allocated load rate of the idle energy-saving safety measure projection devices are updated.

[0099] Based on the updated safety measures type and spatial coordinates of the control cabinet to be adjusted, calculate the horizontal projection angle, pitch angle and projection range parameters of the idle energy-saving safety measures projection device, generate basic control parameters, and add an association record between the control cabinet to be adjusted and the target device in the parameter mapping table.

[0100] When it is determined that the current parameter mapping table cannot meet the adjustment requirements, the parameter mapping table is reconstructed. Clustering and grouping are performed on all control cabinets in the target monitoring area, energy-saving safety measure projection devices are allocated, a parameter mapping table is generated, and the parameter mapping table is replaced. All energy-saving safety measure projection devices receive the new parameters and restart projection, realizing the overall update of the parameter mapping table.

[0101] The energy-saving adjustment module is used to access the parameter mapping table of the target monitoring area, obtain the basic control parameters of each energy-saving safety measure projection device, and adaptively adjust the projection intensity parameters by combining ambient light sensing data, personnel activity status, and control cabinet material. It integrates the projection intensity parameters with the basic control parameters to generate control commands for each energy-saving safety measure projection device and sends them to the corresponding device. This ensures energy-saving operation while maintaining the warning effect and accurate coverage of the safety measure projection. Specifically, the projection intensity parameters include projection light intensity, projection color temperature, and polarization angle. The module determines the baseline values ​​of the basic control parameters based on the parameter mapping table and associates them with the safety measure projection type to form a differentiated adjustment baseline. It also classifies the illumination level based on ambient light sensing data and matches the initial adjustment range of the projection light intensity. Based on personnel activity status, it determines whether there are personnel near the control cabinet and sets projection light intensity adjustment thresholds accordingly. It adjusts the projection color temperature and polarization angle based on the control cabinet material characteristics to adapt to the material. Finally, it integrates the above parameters to generate adjustment rules, forms integrated control commands, and ensures accurate projection coverage, clear and glare-free projection, and energy-saving operation.

[0102] In this embodiment, the energy-saving adjustment module refines the projection intensity parameters into projection light intensity, projection color temperature, and polarization angle, and makes targeted adjustments based on ambient light, personnel activity status, and control cabinet material to make the projection effect more suitable for actual scene requirements. Differentiated adjustment benchmarks associated with different types of safety projections ensure the adaptability of adjustments for different types of safety projections; projection light intensity adjustment based on ambient light and personnel status reduces energy waste while meeting warning clarity requirements; and adjusting the projection color temperature and polarization angle according to the control cabinet material effectively avoids reflection problems and improves the recognizability of the projected image. Integrating these parameters with basic control parameters to generate control commands ensures the synergistic effect of each parameter, ultimately significantly improving the system's energy efficiency and applicability while maintaining the safety projection warning effect and accurate image coverage.

[0103] Please see Figure 5 Preferably, the specific steps for adaptive adjustment of the projection intensity parameter include:

[0104] By deploying ambient light sensors in the control cabinet, real-time light intensity data of each cluster group within the target monitoring area is collected, and the light intensity data is classified into light levels. Based on a predefined light mapping rule table of light levels and projection light intensity ranges, the initial adjustment range of projection light intensity of the corresponding energy-saving safety device for each cluster group is output. Each light level in the light mapping rule table corresponds to a unique upper and lower limit range of projection light intensity. The range values ​​are set according to historical operating experience and safety device projection clarity standards, and the upper and lower limits of the projection light intensity range increase synchronously with the increase of light level.

[0105] Infrared thermal imaging and millimeter-wave radar are used to detect people in each cluster. Infrared thermal imaging captures human body heat source signals, and millimeter-wave radar detects people's movement trajectories and distance information. After fusion analysis, the activity status of people in each cluster is identified, including whether there is human activity or no human activity.

[0106] When there is personnel activity, the projected light intensity is directly set to the upper limit of the initial adjustment range to ensure that personnel can clearly identify the projected content during their activities. When there is no personnel activity, the projected light intensity is determined by taking values ​​from the lower limit of the initial adjustment range upwards according to a preset ratio, based on the specific distribution of light intensity data within the corresponding light level. Specifically, the closer the light intensity is to the upper limit of the light level, the closer the value is to the upper-middle limit of the initial adjustment range; the closer the light intensity is to the lower limit of the light level, the closer the value is to the lower limit of the initial adjustment range, achieving precise energy-saving adjustment when there are no personnel.

[0107] Obtain the material of the control cabinet in the cluster group associated with each energy-saving safety measure projection device, and determine whether the material of the control cabinet in the cluster group is unique. If so, determine the projection color temperature and polarization angle of the energy-saving safety measure projection device according to the material mapping rule table based on the predefined control cabinet material and projection color temperature and polarization angle, and according to the material characteristics of the control cabinet in the cluster group; otherwise, use a dynamic switching method to determine the projection color temperature and polarization angle of the energy-saving safety measure projection device, i.e.:

[0108] The distribution frequency of control cabinets of different materials within the cluster is statistically analyzed. According to the material mapping rule table, the corresponding projection color temperature and polarization angle parameters are matched for each material type. The switching cycle of control cabinets of different materials is set based on the distribution frequency. The projection color temperature and polarization angle parameters corresponding to control cabinets of different materials are activated in a cycle to ensure that control cabinets of various materials can obtain the appropriate projection effect within a complete cycle.

[0109] Preferably, the specific steps for generating control commands for each energy-saving safety measure projection device are as follows:

[0110] The basic control parameters and projection intensity parameters of each energy-saving safety projection device are acquired in real time to form a set of control parameters.

[0111] After format verification of the control parameter set, a scene identifier is added to the control parameter set according to the Ancuo projection type. Different Ancuo projection types correspond to unique identifier codes. The parameters are encapsulated according to the preset communication protocol format and converted into a binary instruction stream that can be recognized by the energy-saving Ancuo projection device. This stream includes parameter start bits, data bits, check bits, and end bits to ensure the integrity and accuracy of the instruction transmission process.

[0112] The encapsulated control commands are sent to each energy-saving safety projection device, and a command transmission status monitoring mechanism is activated simultaneously to provide real-time feedback on the transmission progress and reception status. If the command transmission fails or the device reports a reception abnormality, a retransmission mechanism is triggered to retransmit the command within a preset time interval. The number of retransmissions cannot exceed a preset retransmission threshold; otherwise, a fault message is generated and recorded in the system log for subsequent troubleshooting and maintenance.

[0113] This embodiment introduces an energy-saving safety projection device, which consists of a projector body, an ambient light sensor, a personnel detector, a material identifier, a controller, and a communicator. The projector body is the core projection component, internally equipped with a light intensity regulator, a color temperature regulator, and a polarization angle regulator. The light intensity regulator adjusts the projected light intensity, the color temperature regulator adjusts the projected color temperature, and the polarization angle regulator controls the polarization angle of the projected light, forming a safety warning image in conjunction with the safety projection type. The bottom of the projector body integrates an industrial-grade magnetic fixing component, using neodymium iron boron strong magnets with an epoxy resin anti-rust coating, suitable for humid, dusty, or slightly vibrating environments such as industrial production workshops and substations. The magnetic component supports two adaptation methods: direct adsorption and fixing to metal mounting surfaces, and adaptation to non-magnetic mounting surfaces such as concrete and plastic by replacing the magnetic pads. This magnetic fixing structure requires no drilling or damage to the mounting surface structure, ensuring a tight fit between the device and the mounting surface, and allowing for rapid fine-tuning of the device's position through magnetic adsorption, meeting the needs of dynamic adaptation of the projection device's position. An ambient light sensor is deployed on the control cabinet. The system is used to collect real-time light intensity data for each cluster within the target monitoring area; the personnel detector includes an infrared thermal imager and a millimeter-wave radar. The infrared thermal imager is used to capture human body heat source signals, and the millimeter-wave radar is used to detect personnel movement trajectories and distance information. The two work together to complete the personnel detection for each cluster; the material identifier is used to obtain the material information of the control cabinets in the clusters associated with each energy-saving safety measure projection device; the controller is connected to the projector body, ambient light sensor, personnel detector, and material identifier respectively. It has pre-stored light mapping rule tables and material mapping rule tables, and can receive and process the data transmitted by the ambient light sensor, personnel detector, and material identifier, and generate corresponding adjustment commands based on the processing results and send them to the projector body; the communicator is connected to the controller and is responsible for realizing data transmission between the controller and the control system, receiving basic control parameters and other information sent by the control system, and feeding back the device's operating status information to the control system.

[0114] The projector is used to project safety warning images. It is equipped with a light intensity regulator, a color temperature regulator, and a polarization angle regulator. The light intensity regulator is used to change the intensity of the projected light, the color temperature regulator is used to adjust the color temperature of the projected light, and the polarization angle regulator is used to control the polarization angle of the projected light.

[0115] An ambient light sensor is deployed on the control cabinet and electrically connected to the controller. It is used to collect real-time light intensity data of each cluster group within the target monitoring area and transmit the data to the controller.

[0116] The personnel detector includes an infrared thermal imager and a millimeter-wave radar. Both the infrared thermal imager and the millimeter-wave radar are electrically connected to the controller. The infrared thermal imager is used to capture human body heat source signals, and the millimeter-wave radar is used to detect personnel movement trajectories and distance information. The two work together to complete the detection of personnel in each cluster group and transmit the detection information to the controller.

[0117] The material identifier is electrically connected to the controller and is used to obtain the material information of the control cabinet in the cluster group associated with each energy-saving safety measure projection device, and send the material information to the controller.

[0118] The controller is electrically connected to the projector, ambient light sensor, personnel detector, material identifier, and communicator. It internally stores a light mapping rule table and a material mapping rule table. The controller receives light intensity data from the ambient light sensor, classifies it into light levels, and outputs the initial adjustment range for the projected light intensity based on the light mapping rule table. It also receives information from the personnel detector, analyzes and fuses it to identify personnel activity status, and sends adjustment commands to the light intensity regulator based on this status. Furthermore, it receives material information from the material identifier, determines whether the control cabinet material is unique within a cluster, and sends adjustment commands to the color temperature regulator and polarization angle regulator based on the material mapping rule table or a dynamic switching method. Finally, it integrates all adjustment commands and sends them to the projector.

[0119] The communicator is electrically connected to the controller to realize data transmission between the controller and the external control system, receive basic control parameters and other information sent by the external control system, and feed back the device's operating status information to the external control system.

[0120] Working principle and its effects:

[0121] This invention achieves energy-saving safety measures projection onto control cabinets through the coordinated operation of a control system and a projection device. The control system first constructs a standardized dataset to lay the foundation for subsequent planning, then clusters and groups the control cabinets and assigns projection devices to generate parameter mapping tables. Next, the mapping tables are dynamically updated to cope with state changes. Finally, projection parameters are adjusted in conjunction with multiple factors, and the projection device completes precise projection according to instructions, forming an efficient closed loop.

[0122] By acquiring and standardizing various information from the projection device and control cabinet, the system ensures data accuracy and consistency, providing a reliable basis for subsequent clustering, grouping, and device allocation, thus avoiding projection planning deviations due to information errors. Through scientific clustering and optimized allocation, the system achieves maximum target coverage with minimal equipment, reducing resource waste. The generated basic control parameters ensure the orderly and efficient operation of multiple devices. The system can quickly respond to changes in control cabinet status, and through load verification, it enables partial updates or reconstruction of the parameter mapping table, ensuring that the warning content matches the actual status while reducing unnecessary energy consumption and operational complexity. By adaptively adjusting projection parameters based on ambient light, personnel activity, and control cabinet material, the projector's regulators precisely execute commands, ensuring clear, glare-free, and accurate coverage of the warning image while significantly reducing energy consumption, especially effectively solving the glare problem of glass control cabinets.

[0123] In summary, through the synergistic effect of its various components, this invention not only achieves the accuracy, timeliness, and clarity of safety projection, effectively improving the warning effect, but also significantly reduces energy consumption and resource waste through adaptive adjustment and optimized allocation, thus meeting the dual needs of safety warning and energy-saving operation, and has significant practical value.

[0124] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A control system for an energy saving security projection device, characterized by, include: Connect the energy-saving safety measure projection device within the target monitoring area and calculate the projection range, collect the spatial coordinates and working status of the control cabinet, and construct a standardized dataset; Match the safety measure projection type according to the working status of the control cabinet, and cluster the control cabinets. Combine the projection range of the energy-saving safety measure projection device to construct a candidate projection device list for the cluster group, which is used to allocate the energy-saving safety measure projection device in the cluster group. Based on the spatial relationship between the spatial area of ​​the cluster group and the position of the energy-saving safety measure projection device, generate the basic control parameters of the energy-saving safety measure projection device and construct a parameter mapping table. The system monitors changes in the projection type of the safety measures of the control cabinet, identifies the control cabinet to be adjusted, and determines whether the current parameter mapping table can support the adjustment requirements through load verification. If it can support the requirements, the system partially updates the parameter mapping table; if it cannot support the requirements, the system triggers parameter mapping table reconstruction to update the parameter mapping table. By combining ambient light sensing data, personnel activity status, and control cabinet material, the projection intensity parameter is adaptively adjusted, and control commands for each energy-saving safety measure projection device are generated based on the basic control parameters.

2. The control system of an energy-saving security projection device according to claim 1, wherein, The specific steps for determining whether the current parameter mapping table can accommodate adjustment requirements through load verification include: Extract the updated safety measures type and spatial coordinates of the control cabinet to be adjusted. Based on the spatial index table of the standardized dataset, retrieve the adjacent clusters of the control cabinet to be adjusted and extract their safety measures type information. The updated safety measure type is compared with the safety measure type of each adjacent cluster group to construct a set of adjacent groups of the same type; For each cluster group in the set of adjacent groups of the same type, obtain its associated energy-saving safety measure projection device according to the parameter mapping table and query its occupancy status, and filter out the cluster groups with occupancy status that can be allocated to form an allocable subset of the same type of groups. Calculate the remaining allocable area of ​​the energy-saving safety measure projection device associated with the subset of allocable groups of the same type, and at the same time calculate the required projection area value by combining the preset projection area standard corresponding to the updated safety measure type of the control cabinet to be adjusted. Traverse the energy-saving safety measure projection devices associated with the allocable subset of the same type. If there is an energy-saving safety measure projection device with a remaining allocable area greater than the required projection area, mark it as an allocable device and determine whether the current parameter mapping table can accommodate the adjustment requirement; otherwise, execute the idle device judgment process. The specific steps of the idle device judgment process are as follows: Search for idle energy-saving safety measure projection devices within the target monitoring space. If an idle energy-saving safety measure projection device exists, determine that the current parameter mapping table can accommodate the adjustment requirements; otherwise, determine that the current parameter mapping table cannot accommodate the adjustment requirements.

3. The control system for an energy-saving security projection device according to claim 1, wherein The specific steps for clustering and grouping the control cabinets include: The safety measure type information and spatial coordinates of the control cabinets are extracted from the standardized dataset, and a spatial distribution index table of the control cabinets is constructed. The control cabinets are stored hierarchically according to the safety measure type to form a set of control cabinets of the same type. Configure the neighborhood radius and minimum number of contained points for the density clustering algorithm; Traverse the ungrouped control cabinets and use a range query algorithm based on the spatial distribution index table to retrieve control cabinets of the same type within the neighborhood radius; if the number of control cabinets of the same type in the neighborhood of a control cabinet reaches the minimum number of contained points, then mark it as the initial cluster group; Based on spatial connectivity constraints, the neighborhood search operation is repeatedly performed to form standard clusters that are spatially continuous and physically reachable; and isolated control cabinets are identified and marked as special clusters. For each cluster group, which includes a standard cluster group and a special cluster group, the smallest external spatial coverage area that includes the coordinates of the control cabinets within the cluster group and is parallel to the ground is calculated as the spatial coverage area.

4. The control system for an energy-saving security projection device according to claim 1, wherein The specific steps for constructing the candidate projection device list for cluster groups include: Extract the spatial coordinate range of the spatial coverage area of ​​the cluster group, map it to the local coordinate system of the energy-saving safety measure projection device, and add the normal vector parameters of the surface of the spatial coverage area; Traverse the energy-saving safety measure projection devices, call their projection range, and calculate the spatial intersection ratio between the projection range of the energy-saving safety measure projection device and the spatial coverage area of ​​the cluster group as the spatial matching degree. The projection direction matching degree is calculated by the cosine of the angle between the optical axis of the energy-saving safety projection device and the normal vector of the surface of the spatial coverage area. Configure matching thresholds, filter energy-saving safety measure projection devices whose spatial matching degree and projection direction matching degree are both greater than the corresponding matching thresholds, and construct a candidate projection device list.

5. The control system of the energy-saving safety projection device as described in claim 1, characterized in that, The specific steps of the energy-saving safety measure projection device for allocating cluster groups include: Calculate the coverage ratio of each candidate projection device to the cluster group and the distance from the center of the cluster group, and calculate the load rate of the energy-saving safety measure projection device by the ratio of the total projection area of ​​the cluster groups allocated to the candidate projection devices to the projection area that can be carried. A multi-objective optimization model is constructed using the analytic hierarchy process to transform the coverage ratio, distance from the cluster center, and load rate into a unified evaluation dimension, and to calculate and rank the quantitative scores of candidate projection devices. The target allocation device for the cluster group is selected based on the quantitative scoring and ranking results. At the same time, the pre-allocation load rate of the candidate projection device is updated by accumulating the proportion of the projected area of ​​the current cluster group's spatial coverage area. The occupancy status of the energy-saving safety measure projection device is marked according to the ratio of the device's pre-allocated load rate to its load-bearing capacity.

6. The control system for an energy-saving security projection device according to claim 1, wherein, The specific steps for constructing the parameter mapping table include: Extract the center coordinates, normal vector parameters, and deployment coordinates of the corresponding energy-saving safety measure projection device of the spatial coverage area of ​​the cluster group. Combine the normal vector of the spatial coverage area to calculate the relative displacement vector between the optical axis of the energy-saving safety measure projection device and the target plane of the control cabinet. Taking the deployment coordinates of the energy-saving safety measure projection device as the origin, the horizontal projection angle and pitch angle of the energy-saving safety measure projection device are calculated by combining the displacement components in the horizontal and vertical directions with the corresponding components of the normal vector of the spatial coverage area. By combining the lens focal length of the energy-saving safety device projection device, the distance to the cluster group, and the size of the spatial coverage area, the lens scaling factor is calculated to determine the projection range parameters. By associating cluster group safety measure type information with horizontal projection angle, pitch angle, and projection range parameters, the basic control parameters of the energy-saving safety measure projection device are constructed. Obtain the basic control parameters of the energy-saving safety measure projection device in the target monitoring area and construct a parameter mapping table.

7. The control system for an energy-saving security projection device according to claim 2, wherein, The specific steps for updating the parameter mapping table include: When it is determined that the current parameter mapping table can accommodate the adjustment requirements and there are assignable devices, extract the unique identifier of the assignable device and the update safety measure type and spatial coordinates of the control cabinet to be adjusted; Based on the deployment coordinates of the allocable device and the coordinates of the control cabinet to be adjusted, the horizontal projection angle, pitch angle and projection range parameters are recalculated to generate incremental basic control parameters and update the parameter mapping table. When it is determined that the current parameter mapping table can accommodate the adjustment requirements and there is an idle energy-saving safety measure projection device, the idle energy-saving safety measure projection device of the control cabinet to be adjusted is matched according to the spatial distance between the idle energy-saving safety measure projection device and the control cabinet to be adjusted. Based on the updated safety measures type and spatial coordinates of the control cabinet to be adjusted, calculate the horizontal projection angle, pitch angle and projection range parameters of the idle energy-saving safety measures projection device, generate basic control parameters, add the association record between the control cabinet to be adjusted and the target device in the parameter mapping table, and update the parameter mapping table. When it is determined that the current parameter mapping table cannot accommodate the adjustment requirements, the parameter mapping table is reconstructed and a new parameter mapping table is generated.

8. The control system for an energy-saving security projection device according to claim 1, wherein, The specific steps for adaptively adjusting the projection intensity parameter include: Collect real-time light intensity data for each cluster group and classify the light intensity levels; output the initial adjustment range of the projected light intensity based on the light mapping rule table. Personnel detection is performed on each cluster group to identify personnel activity status, which includes the presence of personnel activity and the absence of personnel activity. When the activity status is "there is activity", the projected light intensity is set to the upper limit of the initial adjustment range; when the activity status is "no activity", the projected light intensity is determined by taking a value from the lower limit of the initial adjustment range upward according to the distribution position of the light intensity data in the corresponding light level and a preset ratio.

9. An energy-saving security projection device based on the control system of any one of claims 1-8, wherein, It consists of a projector body, an ambient light sensor, a personnel detector, a material identifier, a controller, and a communicator; The projector body is equipped with a light intensity regulator, a color temperature regulator, and a polarization angle regulator, which are used to form a safety warning image based on the safety projection type. An ambient light sensor and a personnel detector are deployed on the control cabinet to adaptively adjust the projected light intensity. A material identifier is used to obtain the material of the control cabinet. The controller is connected to the projector body, the ambient light sensor, the personnel detector, and the material identifier, and has pre-stored a light mapping rule table and a material mapping rule table to generate adjustment commands and send them to the projector body. A communicator is connected to the controller to realize data transmission between the controller and the control system.

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