Resource integration platform and resource optimization allocation method for integrated childcare services

Abstract

The present invention discloses a resource integration platform and resource optimization configuration method for integrated childcare services, and relates to a field. The resource optimization configuration method for integrated childcare services obtains resource service data for each functional area of ​​the childcare service to be optimized, performs a comprehensive analysis, and obtains a resource pressure tolerance index for each functional area; obtains individual infant care characteristic data for each functional area, performs data analysis, and obtains a comprehensive care demand index for each functional area; and performs a comprehensive analysis based on the resource pressure tolerance index to obtain a care resource regulation index for each functional area. The present invention takes preset resource optimization configuration measures for each functional area based on the care resource regulation index, thereby accurately reflecting the actual care load status of the functional area, thereby avoiding manpower shortages and space waste caused by failure to match the actual care needs of infants and young children, and then improving the accuracy of care matching and the overall resource adaptation level.

Description

Technical Field

[0001] The present invention relates to the technical field of resource optimization and configuration, and in particular to a resource integration platform and resource optimization and configuration method for integrated childcare services. Background Art

[0002] With the accelerated pace of society and changes in family structure, the demand for childcare services for infants and young children is increasing. Integrated childcare services have gradually become an important way to alleviate the difficulties of parenting. Integrated childcare services mainly refer to the integration of childcare services with the kindergarten education management system, and provide consistent, efficient and safe infant care and early development support through unified planning, unified operation and unified management under the same platform. In the actual operation process, integrated childcare services still face various resource allocation problems. For example, childcare institutions often lack scientific resource matching mechanisms in terms of spatial layout, equipment deployment and manpower allocation, which are prone to over-allocation of functional areas or resource shortages. In addition, there are differentiated care needs among infants and young children, but the existing allocation methods generally adopt fixed and static management strategies, which make it difficult to achieve precise allocation based on needs.

[0003] The limitations of existing technologies include at least the following problems: existing technologies fail to conduct a comprehensive analysis based on the actual carrying capacity of functional areas and the differentiated care needs of infants and young children, resulting in redundant spatial resources or idle equipment in some areas. For example, they fail to fully consider factors such as the actual space availability and equipment accessibility in the allocation of spatial resources. As a result, some auxiliary functional areas are in a state of low utilization but high configuration for a long time, which makes it easy for resource redundancy and equipment idleness to occur. This not only wastes space but also increases maintenance costs. At the same time, in areas where highly dependent children are concentrated, there are phenomena such as excessive manpower load and insufficient care resources, resulting in low overall resource utilization efficiency, unstable service quality, and difficulty in achieving the goal of refined childcare management. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a resource integration platform and resource optimization configuration method for integrated childcare services, which solves the problem that the existing technology does not allocate resources according to actual needs, easily causing waste of space, tight manpower, and difficulty in providing refined services.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a resource optimization configuration method for integrated childcare services, comprising the following steps: obtaining resource service data for each functional area of ​​the childcare service to be optimized, the resource service data including spatial resource data and care resource data; performing feature analysis on the resource service data for each functional area of ​​the service to be optimized, the spatial service carrying index and the care resource load index of each functional area of ​​the service to be optimized, and performing a comprehensive analysis to obtain the resource pressure tolerance index of each functional area of ​​the service to be optimized; and obtaining individual care characteristic data of infants and young children in each functional area of ​​the service to be optimized, performing data analysis to obtain a comprehensive care demand index for each functional area of ​​the service to be optimized, and performing a comprehensive analysis in combination with the resource pressure tolerance index to obtain a care resource regulation index for each functional area of ​​the service to be optimized; and taking preset resource optimization configuration measures for each functional area of ​​the service to be optimized based on the care resource regulation index.

[0006] Furthermore, the specific formula for calculating the care resource regulation index of a functional area to be optimized is as follows: ;in, The care resource regulation index for a functional area to be optimized. The comprehensive care demand index for a functional area to be optimized. is the comprehensive care adjustment coefficient stored in the database, The resource pressure tolerance index of a functional area of ​​the service to be optimized. is the resource pressure adjustment coefficient stored in the database. It is the control interaction adjustment coefficient stored in the database.

[0007] Furthermore, the spatial resource data includes the equipment area ratio, regional congestion index, spatial net density ratio, structural layout rationality index, and entrance and exit effective accessibility ratio. The specific steps for obtaining the spatial service carrying index of each functional area to be optimized are as follows: comprehensively analyze the spatial resource data of each functional area to be optimized to obtain a set of spatial evaluation indexes for each functional area to be optimized, including a spatial tension load index and a spatial flow adaptability index; comprehensively analyze the spatial evaluation index set of each functional area to be optimized to obtain the spatial service carrying index of each functional area to be optimized.

[0008] Furthermore, the specific steps for obtaining the set of spatial evaluation indexes for each functional area to be optimized are as follows: a comprehensive analysis is conducted on the equipment area ratio, regional congestion index, and spatial net density ratio of each functional area to be optimized to obtain the spatial tension load index of each functional area to be optimized; a comprehensive analysis is conducted on the structural layout rationality index and the effective accessibility ratio of entrances and exits of each functional area to be optimized to obtain the spatial flow suitability index of each functional area to be optimized.

[0009] Furthermore, the care resource data includes care equipment coverage value, care equipment integrity value, care equipment usage saturation value, equipment redundancy index, care intensity ratio, skill distribution index, and nursing supplies consumption value. The specific steps for obtaining the care resource load index of each functional area of ​​the service to be optimized are as follows: comprehensively analyze the care resource data of each functional area of ​​the service to be optimized to obtain a care evaluation index set for each functional area of ​​the service to be optimized, including a care facility adaptation index and a service support carrying index; and comprehensively analyze the care evaluation index set of each functional area of ​​the service to be optimized to obtain the care resource load index of each functional area of ​​the service to be optimized.

[0010] Furthermore, the specific steps for obtaining the care assessment index set for each functional area of ​​the service to be optimized are as follows: comprehensively analyze the care equipment coverage rate value, care equipment integrity rate value, and care equipment usage saturation value of each functional area of ​​the service to be optimized to obtain the care facility adaptation index of each functional area of ​​the service to be optimized; comprehensively analyze the care intensity ratio value, skill distribution index, and nursing supplies consumption value of each functional area of ​​the service to be optimized to obtain the service support carrying index of each functional area of ​​the service to be optimized.

[0011] Furthermore, the individual care characteristic data of infants and young children include the developmental care index, care frequency value, environmental influencing factors, and skin surface temperature fluctuation values ​​of each infant and young child. The specific steps for obtaining the comprehensive care demand index of each functional area of ​​the service to be optimized are as follows: standardizing the developmental care index, care frequency value, environmental influencing factors, and skin surface temperature fluctuation values ​​of each infant and young child in each functional area of ​​the service to be optimized; and comprehensively analyzing the developmental care index, care frequency value, environmental influencing factors, and skin surface temperature fluctuation values ​​of each infant and young child in each functional area of ​​the service to be optimized after the standardization to obtain the care demand index of each infant and young child in each functional area of ​​the service to be optimized; and performing mean processing on the care demand index of each infant and young child in each functional area of ​​the service to be optimized to obtain the comprehensive care demand index of each functional area of ​​the service to be optimized.

[0012] Furthermore, the specific calculation formula for calculating the care demand index of a certain infant in a certain functional area of ​​the service to be optimized is as follows: ;in, The care demand index of a certain infant or child in a certain functional area to be optimized. The frequency of care for an infant in a certain functional area to be optimized after standardization. is the frequency adjustment coefficient stored in the database, The developmental care index of a certain infant in a certain functional area to be optimized after standardized processing. is the developmental care adjustment coefficient stored in the database, is the interaction adjustment coefficient stored in the database, The environmental impact factors of a certain infant in a certain functional area to be optimized after standardized processing, is the environmental adjustment coefficient stored in the database, The skin surface temperature fluctuation value of an infant in a certain functional area to be optimized after standardized processing, is the fluctuation adjustment factor stored in the database.

[0013] Furthermore, the specific steps for taking preset resource optimization configuration measures for each functional area of ​​the service to be optimized based on the care resource regulation index are as follows: comparing and analyzing the care resource regulation index of each functional area of ​​the service to be optimized with the preset care resource regulation index threshold; if the care resource regulation index of each functional area of ​​the service to be optimized is lower than or equal to the lower limit of the preset care resource regulation index threshold range, it is marked as a low-voltage buffer zone, and the first resource optimization configuration measure is taken; if the care resource regulation index of each functional area of ​​the service to be optimized is higher than the preset care resource regulation index threshold, it is marked as a high-voltage explosion zone, and the second resource optimization configuration measure is taken.

[0014] The resource integration platform for integrated childcare services includes: a resource data acquisition unit, which is used to acquire resource service data for each functional area of ​​the service to be optimized, wherein the resource service data includes spatial resource data and care resource data; a resource feature analysis unit, which is used to perform feature extraction and analysis on the resource service data of each functional area of ​​the service to be optimized, obtain the spatial service carrying index and the care resource load index of each functional area of ​​the service to be optimized, and perform a comprehensive analysis to obtain the resource pressure tolerance index of each functional area of ​​the service to be optimized; a resource regulation and analysis unit, which is used to acquire individual care characteristic data of infants and young children in each functional area of ​​the service to be optimized, perform data analysis to obtain the comprehensive care demand index of each functional area of ​​the service to be optimized, and perform a comprehensive analysis based on the resource pressure tolerance index to obtain the care resource regulation index of each functional area of ​​the service to be optimized; a resource optimization feedback configuration unit, which is used to take preset resource optimization configuration measures for each functional area of ​​the service to be optimized based on the care resource regulation index.

[0015] The present invention has the following beneficial effects:

[0016] (1) The resource optimization allocation method of the integrated childcare service is to build a two-way indicator system of comprehensive care demand index and resource pressure tolerance index by integrating the individual care characteristic data of infants and young children with resource service data, and then form a care resource regulation index based on actual care needs, so as to accurately reflect the actual care load status of the functional area, and then effectively identify the resource redundancy area and the overload area, avoid the manpower shortage and space waste caused by the failure to match the actual care needs of infants and young children, and support differentiated resource optimization decisions, thereby improving the overall efficiency of childcare resource utilization, and improving the accuracy of care matching and the overall resource adaptation level.

[0017] (2) The resource optimization allocation method of the integrated childcare service is to quantify the spatial service carrying index and the care resource load index by extracting and analyzing the characteristics of the spatial resource data and care resource data of each functional area, and further obtain the resource pressure tolerance index, thereby effectively improving the accuracy and scientificity of the assessment of the carrying capacity of each area, and then comprehensively reflecting the actual spatial carrying capacity and human resource utilization status of each functional area, and helping managers to clearly identify possible resource bottlenecks and service-deficient risk areas, thereby avoiding waste caused by blindly expanding investment and resource mismatch, ensuring the efficient and reasonable allocation of limited resources, and thus significantly improving the overall service operation and maintenance efficiency.

[0018] (3) The resource optimization allocation method of the integrated childcare service establishes a care resource regulation index system based on the combination of resource pressure tolerance index and comprehensive care demand index, so as to evaluate the actual resource demand changes of infants and young children in various functional areas at different development stages and in different care demand scenarios, form an adaptive resource allocation optimization strategy, and pre-adjust resource allocation in a targeted manner, thereby avoiding the response lag and supply and demand mismatch caused by the static allocation model, thereby realizing the demand orientation and dynamic optimization of care services, and then significantly improving the care quality and comfort experience of infants and young children during their growth process, while strengthening the overall competitive advantage and user satisfaction of childcare services.

[0019] (4) The resource integration platform for integrated childcare services forms a platform-based application of the childcare resource optimization configuration method by setting up a resource data acquisition unit, a resource feature analysis unit, a resource regulation and analysis unit, and a resource optimization feedback configuration unit, thereby effectively improving the accuracy and practicality of the management decision-making process. For example, in the rest area of ​​a childcare institution, when the platform identifies that the individual care demand index of infants and young children in the area is high, but the space service carrying index and the care resource load index are at a medium-low level, it indicates that there is a shortage of resource supply. At this time, the platform can quickly provide a specific and clear optimization process based on the care resource regulation index obtained through comprehensive analysis, so as to achieve accurate matching and configuration optimization of resource supply and demand, thereby ensuring that resource allocation is consistent with actual demand, and then effectively avoiding the waste of manpower and space resources, and significantly improving the accuracy of childcare services.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of the resource optimization configuration method for the integrated childcare service of the present invention.

[0022] Figure 2 This is a flowchart of the specific steps for obtaining the spatial service carrying index of each functional area to be optimized in the resource optimization configuration method for integrated childcare services of the present invention.

[0023] Figure 3 This is a sequence diagram of the spatial tension load index area in the resource optimization configuration method for integrated childcare services of the present invention.

[0024] Figure 4 This is a regional sequence diagram of the spatial flow adaptation index in the resource optimization configuration method for integrated childcare services of the present invention.

[0025] Figure 5 This is a framework diagram of the resource integration platform for the integrated childcare service of the present invention. DETAILED DESCRIPTION

[0026] See also Figure 1 , an embodiment of the present invention provides a technical solution: a resource optimization configuration method for integrated childcare services, comprising the following steps: obtaining resource service data for each functional area (including but not limited to rest areas and activity areas) of the service to be optimized (integrated childcare), the resource service data including spatial resource data and care resource data; performing feature extraction and analysis on the resource service data of each functional area of ​​the service to be optimized to obtain a spatial service load index and a care resource load index for each functional area of ​​the service to be optimized; and performing a comprehensive analysis to obtain a resource pressure tolerance index for each functional area of ​​the service to be optimized. The specific calculation formula for calculating the resource pressure tolerance index of a functional area of ​​the service to be optimized is as follows: ;in, The resource pressure tolerance index of a functional area of ​​the service to be optimized. The spatial service carrying index of a functional area to be optimized. Adjust the index for the space stored in the database, is the care resource load index of a functional area to be optimized. is the care adjustment index stored in the database, It is the superposition adjustment coefficient stored in the database; and obtains the individual care characteristic data of infants and young children in each functional area of ​​the service to be optimized, conducts data analysis, and obtains the comprehensive care demand index of each functional area of ​​the service to be optimized, and conducts comprehensive analysis in combination with the resource pressure tolerance index to obtain the care resource regulation index of each functional area of ​​the service to be optimized; based on the care resource regulation index, takes preset resource optimization allocation measures for each functional area of ​​the service to be optimized.

[0027] It needs to be explained that the formula It is used to adjust the superimposed effect of the spatial service carrying index and the care resource load index to avoid the resource pressure index being too high or too low.

[0028] 、 、 It can be obtained through the following steps: Based on historical data, determine the initial impact weight of each variable (spatial service carrying index, care resource load index) on the resource pressure tolerance index through statistical regression analysis. Then, use the disturbance response analysis method (that is, set different value intervals for the above two variables, and gradually adjust their values ​​while keeping other parameters unchanged and calculate the change range of the resource pressure tolerance index to test the impact trend of each parameter disturbance on the output result) to adjust the value range of the coefficient to evaluate the stability and applicability of these parameters to the formula output. Next, further fit the weights through model optimization (such as machine learning algorithm) to ensure that the formula can accurately reflect the pressure status of actual resources.

[0029] The specific formula for calculating the care resource regulation index of a functional area of ​​service to be optimized is as follows: ;in, The care resource regulation index for a functional area to be optimized. The comprehensive care demand index for a functional area to be optimized. is the comprehensive care adjustment coefficient stored in the database, The resource pressure tolerance index of a functional area of ​​the service to be optimized. is the resource pressure adjustment coefficient stored in the database. It is the control interaction adjustment coefficient stored in the database.

[0030] It needs to be explained that the formula This item is used to automatically and dynamically amplify the regulatory response when there is a difference between the comprehensive care demand index and the resource pressure tolerance index, so as to enhance the variability of the regulatory model in extreme supply and demand imbalance scenarios.

[0031] 、 、 It can be obtained through the following steps: using historical data, combined with the comprehensive care demand index and resource pressure tolerance index, statistical regression analysis is carried out to quantify the specific impact of each factor on the care resource regulation index, so as to fit the initial weight value. Secondly, the disturbance response analysis method is used (that is, setting different value intervals for the above two variables, while keeping other parameters unchanged, gradually adjusting their values ​​and calculating the change range of the care resource regulation index to test the impact trend of each parameter disturbance on the output result) to adjust the value range of each coefficient, observe its impact on the care resource regulation evaluation results, ensure the stability and rationality of the model, and based on the characteristics of the functional area and the actual situation, revise and optimize the preliminary fitted coefficients, and finally determine the coefficient values ​​applicable to specific functional areas.

[0032] Specifically, if Figure 2As shown, the spatial resource data include the equipment area ratio, regional congestion index, spatial net density ratio, structural layout rationality index, and entrance and exit effective accessibility ratio. The specific steps for obtaining the spatial service carrying index of each functional area to be optimized are as follows: a comprehensive analysis is conducted on the spatial resource data of each functional area to be optimized to obtain a set of spatial evaluation indexes for each functional area to be optimized, including a spatial tension load index (a quantitative assessment of the degree of occupation of spatial resources) and a spatial flow fitness index (a quantitative assessment of the rationality of the spatial structure layout within the area); a comprehensive analysis is conducted on the set of spatial evaluation indexes of each functional area to be optimized to obtain the spatial service carrying index of each functional area to be optimized.

[0033] The equipment area ratio is the ratio of the area occupied by furniture, equipment and other fixed facilities in the functional area (which can be obtained by accumulating the sizes of various equipment stored in the database) to the total area of ​​the area (the plane area enclosed by the actual physical boundaries of the functional area, which can be obtained from the design data table stored in the database).

[0034] The regional congestion index is the ratio of the actual number of infants and young children in the functional area to the approved design capacity of the area (which can be obtained through the design table stored in the database). The actual number of infants and young children can be obtained by obtaining the number of infants and young children present in several historical times (obtained from the sign-in record table stored in the database) and performing averaging processing.

[0035] The net spatial density ratio is the ratio of the actual number of infants and young children in the area to the actual available activity area (i.e. the difference between the total area of ​​the area and the area occupied by fixed facilities).

[0036] The structural layout rationality index is the spatial distribution balance among the facilities in the functional area. That is, the distance value between each facility (the center point of the facility) and all facilities within a preset range (e.g., 1.5 m) in the area is obtained (that is, a portable laser ranging device is used in combination with a coordinate acquisition app for rapid acquisition. With the lower left corner as the set spatial origin, the distance from the center point of each facility to the horizontal and vertical boundaries is measured respectively, and uploaded to the coordinate acquisition app. The corresponding two-dimensional plane coordinates are automatically generated, and then the distance value is calculated based on the Euclidean distance formula). The standard deviation processing is performed, and the mean processing is performed based on the standard deviation processing result. The result obtained is the structural layout rationality index.

[0037] The effective accessibility ratio of entrances and exits is the ratio of the total width of effective entrances and exits in the area (the total net width of all entrances and exits accessible to infants and young children, excluding inaccessible window sills, small doors, equipment holes, etc., which can be measured by a laser rangefinder and the measurement results uploaded to the database) to the perimeter of the area boundary (which can be obtained through the design data table stored in the database).

[0038] The specific formula for calculating the spatial service carrying index of a functional area to be optimized is as follows: ;in, The spatial service carrying index of a functional area to be optimized. The spatial tension load index of a functional area to be optimized, is the tension load adjustment coefficient stored in the database, The spatial flow suitability index of a functional area to be optimized, is the flow adaptation adjustment coefficient stored in the database, is the collaborative adjustment coefficient stored in the database.

[0039] What needs to be explained is that 、 、 It can be obtained through the following steps: Based on historical data, determine the initial influence weights of each variable (spatial tension load index, spatial flow adaptability index) on the spatial service carrying index through statistical regression analysis. Then, use the disturbance response analysis method (set multiple value intervals for the above two variables respectively, and while keeping other parameters unchanged, input test values ​​in turn and calculate the output spatial service carrying index to observe the changing trend and response amplitude of the output results, thereby verifying the influence of each coefficient on the stability of the model) to adjust the value range of the coefficient to evaluate the stability and applicability of these parameters to the formula output. Next, further fit the weights through model optimization (such as machine learning algorithm) to ensure that the formula can accurately reflect the actual carrying status of the spatial service.

[0040] The specific implementation example of calculating the spatial service load index of a functional area to be optimized is as follows. The existing data are as follows: the spatial tension load index and spatial flow suitability index of the five functional areas to be optimized, as shown in Table 1 and Figure 3-4 As shown:

[0041] Table 1 Example of regional sequence data for the care assessment index set of services to be optimized

[0042]

[0043] Tension load adjustment factors stored in the database Approximately: 0.492;

[0044] Flow adaptation adjustment coefficient stored in the database Approximately: 0.612;

[0045] Co-adjustment coefficients stored in the database Approximately: 0.426;

[0046] Substituting the data in Table 1 and the above adjustment coefficients into the specific formula for calculating the spatial service carrying index of a functional area to be optimized, we obtain:

[0047] The spatial service carrying index of the first functional area to be optimized = ln (1 + ((1 / (1 + 0.613)) 0.492 ×0.732 0.612 ) 1 / （1+0.426） )≈0.554;

[0048] The spatial service carrying index of the second functional area to be optimized = ln (1 + ((1 / (1 + 0.0.482)) 0.492 ×0.816 0.612 ) 1 / （1+0.426） )≈0.588;

[0049] The spatial service carrying index of the third functional area to be optimized = ln (1 + ((1 / (1 + 0.694)) 0.492 ×0.688 0.612 ) 1 / （1+0.426） )≈0.536;

[0050] The spatial service carrying index of the fourth functional area to be optimized = ln (1 + ((1 / (1 + 0.41)) 0.492 ×0.628 0.612 ) 1 / （1+0.426） )≈0.524;

[0051] The spatial service carrying index of the fifth functional area to be optimized = ln (1 + ((1 / (1 + 0.537)) 0.492 ×0.774 0.612 ) 1 / （1+0.426） )≈0.582.

[0052] The specific steps for obtaining the set of spatial evaluation indexes for each functional area to be optimized are as follows: a comprehensive analysis is conducted on the equipment area ratio, regional congestion index, and spatial net density ratio of each functional area to be optimized (i.e., standardization is first performed, and weighting is performed based on the standardization results) to obtain the spatial tension load index of each functional area to be optimized; a comprehensive analysis is conducted on the structural layout rationality index and the effective accessibility ratio of entrances and exits of each functional area to be optimized (i.e., standardization is first performed, and weighting is performed based on the standardization results) to obtain the spatial flow suitability index of each functional area to be optimized.

[0053] In this implementation plan, based on a number of specific indicators such as equipment area ratio, regional congestion index, space net density ratio, structural layout rationality index, and entrance and exit effective accessibility ratio, the actual utilization of functional area space resources and structural configuration status are deeply quantified, overcoming the defects of traditional space evaluation methods that are too rough and subjective, and effectively avoiding decision-making errors caused by human factors. Secondly, the setting of two indicators, space tension load index and space flow structure order index, makes the evaluation of space service load no longer a single static process, but transforms it into a comprehensive evaluation system that includes two core dimensions: space load status and structural rationality, thereby improving the accuracy and comprehensiveness of space resource diagnosis. It is conducive to differentiated evaluation of the spatial usage characteristics of different functional areas, providing more detailed and scientific data support for management decisions. Finally, the method of combining statistical regression analysis with disturbance response analysis is adopted to scientifically determine the initial weights of each parameter, and further dynamic fitting and correction are performed through model optimization methods, which effectively improves the stability of the formula applicability and the flexibility of dynamic adjustment, thereby significantly improving the sensitivity and accuracy of the evaluation model to changes in the actual spatial resource carrying capacity, making the evaluation results highly consistent with actual management needs, thereby ensuring the scientificity, accuracy and stability of management decisions, and effectively avoiding the waste of spatial resources and safety hazards caused by resource allocation errors.

[0054] Specifically, the care resource data include the care equipment coverage rate value, the care equipment integrity rate value, the care equipment usage saturation value, the equipment redundancy index, the care intensity ratio value, the skill distribution index, and the nursing supplies consumption value. The specific steps to obtain the care resource load index of each functional area of ​​the service to be optimized are as follows: conduct a comprehensive analysis of the care resource data of each functional area of ​​the service to be optimized to obtain a set of care assessment indexes for each functional area of ​​the service to be optimized, including a care facility adaptation index (reflecting the overall adaptability level of the care equipment configuration in a certain functional area, that is, the degree of support matching for care service needs) and a service support carrying index (measuring the level of continuous carrying capacity of care manpower and material resources for care service tasks); and conduct a comprehensive analysis (that is, weighted processing) of the care assessment index set of each functional area of ​​the service to be optimized to obtain the care resource load index of each functional area of ​​the service to be optimized.

[0055] Among them, the care equipment coverage rate value is the ratio of the number of care equipment (such as nursing beds) when the functional area is in use to the number of infants and young children. It can be obtained by obtaining the average of the ratios of the historical number of care equipment when the functional area is used for several times (obtained through the equipment inspection registration form stored in the database) and the historical number of infants and young children (obtained through the attendance records stored in the database).

[0056] The intactness rate of care equipment is the ratio of the number of devices in normal use (obtained through the equipment inspection registration form stored in the database) to the total number of devices (obtained through the equipment inspection registration form stored in the database).

[0057] The equipment redundancy index is a measure of the redundancy of the care equipment configuration in the functional area. It can be obtained by obtaining the total number of each type of care equipment in the functional area (obtained through the equipment inspection registration form stored in the database), the reasonable equipment demand (that is, the standard configuration ratio, such as a dining table can be used by 4 children together, and obtaining the number of infants and young children in the area, and then multiplying it by this standard configuration ratio) and performing ratio processing, that is, (the total number of each type of care equipment - the reasonable equipment demand of each type) / the total number of each type of care equipment, and performing weighted average processing based on the ratio processing results. The result is the equipment redundancy index.

[0058] The care intensity ratio is used to quantify the infant and young child service load level corresponding to each caregiver. It can be obtained by obtaining the number of infants and young children that each caregiver needs to care for several times in history and averaging them. The result is the care intensity ratio.

[0059] The skill distribution index is used to quantify the care level of caregivers. It can be obtained by obtaining the skill certificate level of each caregiver (junior childcare worker is level five, intermediate childcare worker is level four, senior childcare worker is level three, technician is level two, and senior technician is level one, and it can be obtained through the personnel information table stored in the database) and performing standard deviation processing. The result is the skill distribution index.

[0060] The consumption value of nursing supplies is the actual number of nursing supplies used, which can be obtained by obtaining the historical number of nursing supplies used in several days (obtained through the material management table stored in the database) and performing averaging processing.

[0061] The specific steps for obtaining the care assessment index set for each functional area of ​​the service to be optimized are as follows: conduct a comprehensive analysis of the care equipment coverage rate value, care equipment integrity rate value, and care equipment usage saturation value of each functional area of ​​the service to be optimized (i.e., first perform normalization processing, and then perform weighted processing based on the normalization processing results) to obtain the care facility adaptation index of each functional area of ​​the service to be optimized; conduct a comprehensive analysis of the care intensity ratio value, skill distribution index, and nursing supply consumption value of each functional area of ​​the service to be optimized (i.e., first perform normalization processing, and then perform weighted processing based on the normalization processing results) to obtain the service support carrying index of each functional area of ​​the service to be optimized.

[0062] In this implementation plan, a comprehensive structured assessment of the current status of care resource allocation in functional areas is achieved through a comprehensive analysis of care resource parameters with clear physical and management significance. A dual indicator system of care facility adaptation index and service support carrying index is constructed, which systematically reveals the support capacity and potential bottlenecks of care service resources from the two dimensions of hardware configuration and human and material resources. For example, the care facility adaptability index can reveal whether the equipment configuration in a certain area can effectively support care needs, avoiding space waste and service disconnection caused by equipment gaps or redundancies. Secondly, the entire assessment process adopts data normalization and standardization processing methods, and cooperates with a weighted analysis mechanism to ensure that all types of data with different dimensions and magnitudes can be reasonably processed and integrated at the same scale, thereby improving the accuracy and adaptability of the assessment model. For example, although the consumption of nursing supplies is an absolute value and the skill distribution index is a statistical discrete value, they can both be normalized into a unified assessment framework in this model, thereby avoiding information distortion or bias problems, and ensuring that the final care resource load index is more objective and has more comparative value. Finally, the care resource load index not only provides a core reference tool for quantitative assessment for childcare managers, but also serves as an input signal source for the optimization process trigger mechanism to drive subsequent management actions such as resource reallocation, facility renewal, personnel adjustment, and nursing material procurement. It has great engineering application potential and practical implementation value.

[0063] Specifically, the individual care characteristic data of infants and young children include the developmental care index, care frequency value, environmental influencing factors, and skin surface temperature fluctuation values ​​of each infant and young child. The specific steps for obtaining the comprehensive care demand index of each functional area of ​​the service to be optimized are as follows: standardize the developmental care index, care frequency value, environmental influencing factors, and skin surface temperature fluctuation values ​​of each infant and young child in each functional area of ​​the service to be optimized; and conduct a comprehensive analysis of the developmental care index, care frequency value, environmental influencing factors, and skin surface temperature fluctuation values ​​of each infant and young child in each functional area of ​​the service to be optimized after the standardization to obtain the care demand index of each infant and young child in each functional area of ​​the service to be optimized; perform mean processing on the care demand index of each infant and young child in each functional area of ​​the service to be optimized to obtain the comprehensive care demand index of each functional area of ​​the service to be optimized.

[0064] Among them, the developmental care index is the level of physical load generated by the infant's physical development status for care work. It can be obtained by obtaining the infant's age in months, weight, and height, and performing standardization. Based on the standardization results, weighted processing is performed. The result is the developmental care index. The age in months, weight, and height values ​​can all be obtained through the health record form stored in the database.

[0065] The nursing frequency value is the total number of care operations (including but not limited to changing diapers, feeding, etc.) performed on an infant in a unit of time (such as per day), which can be obtained through the nursing log in the database.

[0066] The environmental impact factor is the degree of influence of the environment on the care of infants and young children. It can be obtained by obtaining the daily ambient temperature value (obtained through a temperature sensor), the ambient wind speed value (obtained through a wind speed sensor), the ambient humidity value (obtained through a humidity sensor), and the ambient noise value (obtained through a decibel sensor), and performing standardization processing. Based on the standardization processing results, weighted processing is performed, and then average processing is performed. The result obtained is the environmental impact factor.

[0067] The skin surface temperature fluctuation value is the difference between the daily maximum and minimum skin temperature. The maximum and minimum skin temperature can be obtained by a thermometer, and the results are uploaded to the database.

[0068] The specific calculation formula for calculating the care demand index of a certain infant or child in a certain functional area of ​​the service to be optimized is as follows: ;in, The care demand index of a certain infant or child in a certain functional area to be optimized. The frequency of care for an infant in a certain functional area to be optimized after standardization. is the frequency adjustment coefficient stored in the database, The developmental care index of a certain infant in a certain functional area to be optimized after standardized processing. is the developmental care adjustment coefficient stored in the database, is the interaction adjustment coefficient stored in the database, The environmental impact factors of a certain infant in a certain functional area to be optimized after standardized processing, is the environmental adjustment coefficient stored in the database, The skin surface temperature fluctuation value of an infant in a certain functional area to be optimized after standardized processing, is the fluctuation adjustment factor stored in the database.

[0069] It needs to be explained that the formula This item is used to adjust the interaction between the care frequency value and the developmental care index to avoid the care need index being too high or too low.

[0070] 、 、 、 、 It can be obtained through the following steps: using historical data, combined with nursing frequency values, developmental care index, environmental impact factors, and skin surface temperature fluctuation values, statistical regression analysis is performed to quantify the specific impact of each factor on the nursing demand index, thereby fitting the initial weight value; secondly, the disturbance response analysis method is used (set multiple value intervals for each of the above variables respectively, and while keeping other parameters unchanged, input the test values ​​in turn and calculate the output nursing demand index to observe the changing trend and response amplitude of the output results, thereby verifying the influence of each coefficient on the stability of the model), adjust the value range of each coefficient, observe its impact on the nursing demand assessment results, ensure the stability and rationality of the model, and based on the characteristics of the functional area and the actual situation, correct and optimize the preliminary fitted coefficients, and finally determine the coefficient values ​​applicable to specific functional areas.

[0071] In this implementation plan, by comprehensively introducing four highly detailed evaluation parameters of infant and young child developmental care index, care frequency value, environmental impact factor and skin surface temperature fluctuation value, the evaluation is ensured to be refined, differentiated and targeted, thereby improving the accuracy of individual needs assessment. Secondly, the standardization and weighted analysis method is adopted to effectively balance the scale differences and influence strengths between the parameters, so that each parameter can participate in the calculation process of the comprehensive index fairly and objectively. In addition, the nonlinear interaction between the parameters is explicitly quantified, such as the interactive adjustment between the care frequency value and the developmental care index. The coefficients are adjusted to avoid excessively high or low index calculation results, thereby improving the stability and rationality of the index calculation. Finally, the coefficients are repeatedly optimized and adjusted in combination with statistical regression analysis and disturbance response analysis, avoiding the blindness and arbitrariness of the weight coefficient setting and improving the practical value of the model. In this way, the final care demand index can stably and accurately reflect the real care needs of infants and young children, thereby improving the refinement of care management and decision-making quality of childcare institutions, preventing mismatch and waste of resources, and thus achieving the goal of precise and differentiated care service management with infants and young children as the core.

[0072] Specifically, the specific steps for taking preset resource optimization allocation measures for each functional area of ​​the service to be optimized based on the care resource regulation index are as follows: the care resource regulation index of each functional area of ​​the service to be optimized is compared and analyzed with the preset care resource regulation index threshold; if the care resource regulation index of each functional area of ​​the service to be optimized is lower than or equal to the lower limit of the preset care resource regulation index threshold range, it is marked as a low-voltage buffer zone (that is, there is manpower or material redundancy in the functional area), and the first resource optimization allocation measure is taken, which is to appropriately reduce the number of staff in the subsequent scheduling and material planning. The frequency of care staff arrangement and nursing supplies supply in this area is prioritized, and it serves as a source of manpower support for other areas (i.e., high-voltage explosion-prone areas); if the care resource regulation index of each functional area to be optimized is higher than the preset care resource regulation index threshold, it will be marked as a high-voltage explosion-prone area (i.e., the resources in the functional area have approached or exceeded its carrying capacity limit, and there is a risk of overload), and the second resource optimization allocation measure will be taken, which is to increase the coverage rate of care staff shifts in this area, increase the quota of nursing supplies, and reduce the density of activity organization in this area in subsequent rounds of resource arrangement to slow down the intensity of resource consumption.

[0073] In this implementation plan, a comparison mechanism between the care resource regulation index and its preset threshold is used to construct a resource allocation strategy with zoning risk grading, thereby achieving precise allocation of care resources and improving the pertinence and operational feasibility of management decisions. Secondly, the functional areas are divided into low-voltage buffer zones and high-voltage explosion zones, so that the scheduling of childcare resources is transformed from passive response to active identification and graded intervention, and a logical closed loop of resource flow and redistribution is effectively constructed. Finally, a graded judgment and countermeasure mechanism based on the regulation index is used to reduce the delays and misjudgments that may be caused by relying on subjective experience, thereby improving the transparency and repeatability of decisions on the optimal allocation of childcare resources.

[0074] See also Figure 5, an embodiment of the present invention provides a technical solution: a resource integration platform for integrated childcare services, including: a resource data acquisition unit, used to acquire resource service data of each functional area of ​​the service to be optimized, the resource service data including spatial resource data and care resource data; a resource feature analysis unit, used to perform feature extraction and analysis on the resource service data of each functional area of ​​the service to be optimized, obtain the spatial service carrying index and care resource load index of each functional area of ​​the service to be optimized, and perform comprehensive analysis to obtain the resource pressure tolerance index of each functional area of ​​the service to be optimized; a resource regulation and analysis unit, used to acquire individual care characteristic data of infants and young children in each functional area of ​​the service to be optimized, perform data analysis to obtain the comprehensive care demand index of each functional area of ​​the service to be optimized, and perform comprehensive analysis in combination with the resource pressure tolerance index to obtain the care resource regulation index of each functional area of ​​the service to be optimized; a resource optimization feedback configuration unit, used to take preset resource optimization configuration measures for each functional area of ​​the service to be optimized based on the care resource regulation index.

[0075] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0076] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A resource optimization configuration method for integrated childcare services, characterized in that: The following steps are involved: Obtain resource service data for each functional area of ​​the childcare service to be optimized, wherein the resource service data includes space resource data and care resource data; Conduct feature analysis on the resource service data of each functional area to be optimized, and conduct comprehensive analysis to obtain the resource pressure tolerance index of each functional area to be optimized; The individual infant care characteristic data for each functional area of ​​the service to be optimized is obtained. The individual infant care characteristic data includes each infant's developmental care index, care frequency value, environmental impact factor, and skin surface temperature fluctuation value. The data is analyzed to obtain a comprehensive care demand index for each functional area of ​​the service to be optimized. The specific steps are as follows: Standardize the developmental care index, care frequency, environmental impact factors, and skin surface temperature fluctuation values ​​of each infant in each functional area to be optimized; A comprehensive analysis of the developmental care index, care frequency, environmental impact factors, and skin surface temperature fluctuation values ​​of each infant in each functional area of ​​the service to be optimized after standardization is performed to obtain the care demand index of each infant in each functional area of ​​the service to be optimized. The specific formula is as follows: Where KxQ is the care demand index of an infant in a certain functional area of ​​the service to be optimized; HpC′, FyH′, HjY′, and FpW′ are, respectively, the standardized care frequency value, developmental care index, environmental impact factor, and skin surface temperature fluctuation value of an infant in a certain functional area of ​​the service to be optimized; μ1, μ2, μ3, μ4, and μ5 are, respectively, the frequency adjustment coefficient, developmental care adjustment coefficient, interaction adjustment coefficient, environmental adjustment coefficient, and fluctuation adjustment coefficient stored in the database; The care demand index of each infant and young child in each functional area of ​​the service to be optimized is averaged to obtain the comprehensive care demand index of each functional area of ​​the service to be optimized. Combined with the resource pressure tolerance index, a comprehensive analysis is performed to obtain the care resource regulation index of each functional area of ​​the service to be optimized. The specific formula for calculating the care resource regulation index of a functional area of ​​the service to be optimized is as follows: Among them, TkZ, ZkH, and ZyL are the care resource regulation index, comprehensive care demand index, and resource pressure tolerance index of a functional area to be optimized, respectively; η1, η2, and η3 are the comprehensive care adjustment coefficient, resource pressure adjustment coefficient, and regulation interaction adjustment coefficient stored in the database, respectively; Based on the care resource regulation index, preset resource optimization allocation measures are taken for each functional area of ​​the optimized service.

2. The resource optimization configuration method for integrated childcare services according to claim 1, characterized in that: The spatial resource data includes the equipment area ratio, regional congestion index, space net density ratio, structural layout rationality index, and entrance and exit effective access ratio. The specific steps for obtaining the spatial service carrying index of each functional area to be optimized are as follows: Comprehensively analyze the spatial resource data of each functional area to be optimized, and obtain a set of spatial evaluation indexes for each functional area to be optimized, including the spatial tension load index and the spatial flow structure order index; A comprehensive analysis is performed on the spatial evaluation index set of each functional area of ​​the service to be optimized to obtain the spatial service carrying index of each functional area of ​​the service to be optimized.

3. The resource optimization configuration method for integrated childcare services according to claim 2, characterized in that: The specific steps to obtain the spatial evaluation index set for each functional area of ​​the service to be optimized are as follows: Comprehensively analyze the equipment area ratio, regional congestion index, and space net density ratio of each functional area to be optimized to obtain the space tension load index of each functional area to be optimized; A comprehensive analysis is conducted on the structural layout rationality index and the effective accessibility ratio of entrances and exits of each functional area to be optimized, and the spatial flow suitability index of each functional area to be optimized is obtained.

4. The resource optimization configuration method for integrated childcare services according to claim 1, characterized in that: The care resource data includes the care equipment coverage rate value, the care equipment integrity rate value, the care equipment usage saturation value, the equipment redundancy index, the care intensity ratio value, the skill distribution index, and the care supply consumption value. The specific steps for obtaining the care resource load index of each functional area to be optimized are as follows: Comprehensively analyze the care resource data of each functional area of ​​the service to be optimized, and obtain a set of care evaluation indexes for each functional area of ​​the service to be optimized, including the care facility adaptation index and the service support carrying index; A comprehensive analysis is then conducted on the care assessment index set for each functional area of ​​the service to be optimized to obtain the care resource load index for each functional area of ​​the service to be optimized.

5. The resource optimization configuration method for integrated childcare services according to claim 4 is characterized in that: The specific steps to obtain the care assessment index set for each functional area of ​​the service to be optimized are as follows: Comprehensively analyze the care equipment coverage rate, care equipment integrity rate, and care equipment usage saturation value of each functional area of ​​the service to be optimized to obtain the care facility adaptation index of each functional area of ​​the service to be optimized; A comprehensive analysis is conducted on the care intensity ratio, skill distribution index, and nursing supplies consumption value of each functional area of ​​the service to be optimized to obtain the service support carrying index of each functional area of ​​the service to be optimized.

6. The resource optimization configuration method for integrated childcare services according to claim 1, characterized in that: The specific steps for taking preset resource optimization measures for each functional area of ​​the optimized service based on the care resource regulation index are as follows: Compare and analyze the care resource regulation index of each functional area of ​​the service to be optimized with the preset care resource regulation index threshold; If the care resource regulation index of each functional area of ​​the service to be optimized is lower than or equal to the lower limit of the preset care resource regulation index threshold range, it is marked as a low-voltage buffer zone, and the first resource optimization allocation measure is taken; If the care resource regulation index of each functional area of ​​the service to be optimized is higher than the preset care resource regulation index threshold, it is marked as a high-voltage explosion zone and the second resource optimization configuration measure is taken.

7. A resource integration platform for integrated childcare services, applying the resource optimization configuration method for integrated childcare services according to any one of claims 1 to 6, characterized in that: include: A resource data acquisition unit, configured to acquire resource service data of each functional area to be optimized, wherein the resource service data includes space resource data and care resource data; The resource feature analysis unit is used to extract and analyze the resource service data of each functional area of ​​the service to be optimized, obtain the spatial service carrying index and care resource load index of each functional area of ​​the service to be optimized, and perform comprehensive analysis to obtain the resource pressure tolerance index of each functional area of ​​the service to be optimized; A resource regulation and analysis unit is used to obtain individual infant and child care characteristic data for each functional area of ​​the service to be optimized, perform data analysis to obtain a comprehensive care demand index for each functional area of ​​the service to be optimized, and perform comprehensive analysis in combination with the resource pressure tolerance index to obtain a care resource regulation index for each functional area of ​​the service to be optimized; The resource optimization feedback configuration unit is used to take preset resource optimization configuration measures for each functional area of ​​the service to be optimized based on the care resource regulation index.

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