Resource integration platform and resource optimization configuration method for kindergarten integrated service

Abstract

The invention discloses a resource integration platform and a resource optimization configuration method for kindergarten integrated service, and relates to the field. According to the resource optimization configuration method for the kindergarten integrated service, resource service data of each functional area of the kindergarten integrated service to be optimized is obtained and comprehensively analyzed, and a resource pressure bearing index of each functional area is obtained; obtaining infant individual care characteristic data of each functional area, performing data analysis to obtain a comprehensive care demand index of each functional area, and performing comprehensive analysis in combination with the resource pressure bearing index to obtain a care resource regulation index of each functional area; according to the invention, the preset resource optimization configuration measures are taken for each functional area based on the nursing resource regulation and control index, so that the actual nursing load state of the functional area can be accurately reflected, and manpower tension and space waste caused by the fact that the actual nursing demand of the infant is not matched are avoided; and therefore, the nursing matching accuracy and the overall resource adaptation level can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of resource optimization configuration, and in particular to a resource integration platform and a resource optimization 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 growing. Integrated childcare services have gradually become an important way to alleviate the problem of childcare difficulties. Integrated childcare services mainly refer to the integration of childcare services with the kindergarten education management system, providing consistent, efficient and safe infant care and early development support through unified planning, operation and 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 deployment, which easily lead to over-allocation of functional areas or resource shortages. In addition, there are differentiated care needs among infants and young children. However, existing configuration methods generally adopt fixed and static management strategies, which make it difficult to achieve precise allocation based on needs.

[0003] The limitations of the existing technology include at least the following problems: the existing technology fails to conduct a comprehensive analysis based on the actual carrying capacity of the functional area and the differentiated care needs of infants and young children, resulting in redundant spatial resources or idle equipment in some areas. For example, it fails 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 is prone to resource redundancy and equipment idleness. This not only causes space waste but also increases maintenance costs. At the same time, in areas where highly dependent children are concentrated, there are problems 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 view of the deficiencies of the prior art, the present invention provides a resource integration platform and a resource optimization configuration method for integrated childcare services, which solves the problem that the prior art 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 realized through the following technical solutions: A method for optimizing the allocation of resources for integrated childcare services, comprising the following steps: obtaining resource service data for each functional area of the childcare service to be optimized, where the resource service data includes space resource data and care resource data; respectively performing feature analysis on the resource service data of each functional area of the service to be optimized, calculating the space service carrying index and care resource load index for each functional area of the service to be optimized, and performing comprehensive analysis to obtain the resource pressure tolerance index for each functional area of the service to be optimized; and obtaining individual childcare characteristic data for each functional area of the service to be optimized, performing data analysis to obtain the comprehensive care demand index for each functional area of the service to be optimized, and combining with the resource pressure tolerance index for comprehensive analysis to obtain the care resource regulation index for each functional area of the service to be optimized; based on the care resource regulation index, taking preset resource optimization and allocation measures for each functional area of the service to be optimized.

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

[0007] Further, the space resource data includes the equipment area occupancy ratio, regional congestion index, space net density ratio, structural layout rationality index, and effective access ratio of entrances and exits. The specific steps for obtaining the space service carrying index for each functional area of the service to be optimized are as follows: respectively performing comprehensive analysis on the space resource data of each functional area of the service to be optimized to obtain a set of space evaluation indexes for each functional area of the service to be optimized, including the space tension load index and the space flow adaptation and order index; performing comprehensive analysis on the set of space evaluation indexes for each functional area of the service to be optimized to obtain the space service carrying index for each functional area of the service to be optimized.

[0008] Further, the specific steps for obtaining the spatial evaluation index set of each functional area of the service to be optimized are as follows: comprehensively analyze the equipment area occupancy ratio, regional congestion index, and spatial net density ratio of each functional area of the service to be optimized to obtain the spatial tension load index of each functional area of the service to be optimized; comprehensively analyze the structural layout rationality index and the effective access ratio of entrances and exits of each functional area of the service to be optimized to obtain the spatial flow adaptation and order index of each functional area of the service to be optimized.

[0009] Further, the care resource data includes the care equipment coverage rate value, the care equipment intact rate value, the care equipment usage saturation value, the equipment redundancy index, the care intensity ratio, the skill distribution index, and the consumption value of nursing supplies. 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 respectively to obtain the care evaluation index set of each functional area of the service to be optimized, including the care facility adaptation index and the service support bearing 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] Further, the specific steps for obtaining the care evaluation index set of each functional area of the service to be optimized are as follows: comprehensively analyze the care equipment coverage rate value, the care equipment intact rate value, and the 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, the skill distribution index, and the consumption value of nursing supplies of each functional area of the service to be optimized to obtain the service support bearing index of each functional area of the service to be optimized.

[0011] Further, the infant individual care characteristic data includes the developmental care index, the nursing frequency value, the environmental impact factor, and the skin surface temperature fluctuation value of each infant. 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, the nursing frequency value, the environmental impact factor, and the skin surface temperature fluctuation value of each infant in each functional area of the service to be optimized; and comprehensively analyze the developmental care index, the nursing frequency value, the environmental impact factor, and the skin surface temperature fluctuation value of each infant in each functional area of the service to be optimized after the standardization process to obtain the care demand index of each infant in each functional area of the service to be optimized; perform a mean value process on the care demand index of each infant 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] Further, 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: ; where is the care demand index of a certain infant in a certain functional area of the service to be optimized, is the nursing frequency value of a certain infant in a certain functional area of the service to be optimized after standardization, is the frequency adjustment coefficient stored in the database, is the developmental care index of a certain infant in a certain functional area of the service to be optimized after standardization, is the developmental care adjustment coefficient stored in the database, is the interaction adjustment coefficient stored in the database, is the environmental impact factor of a certain infant in a certain functional area of the service to be optimized after standardization, is the environmental adjustment coefficient stored in the database, is the skin surface temperature fluctuation value of a certain infant in a certain functional area of the service to be optimized after standardization, is the fluctuation adjustment coefficient stored in the database.

[0013] Further, 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: 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 respectively; 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-pressure slow-load area, 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-pressure critical explosion area, and the second resource optimization configuration measure is taken.

[0014] A resource integration platform for integrated childcare and kindergarten services, including: a resource data acquisition unit for acquiring resource service data of each functional area of the service to be optimized, where the resource service data includes space resource data and care resource data; a resource feature analysis unit for respectively performing feature extraction and analysis on the resource service data of each functional area of the service to be optimized, obtaining a space service carrying index and a care resource load index for each functional area of the service to be optimized, and performing comprehensive analysis to obtain a resource pressure bearing index for each functional area of the service to be optimized; a resource regulation analysis unit for acquiring individual childcare characteristic data of each functional area of the service to be optimized, performing data analysis, obtaining a comprehensive care demand index for each functional area of the service to be optimized, and performing comprehensive analysis in combination with the resource pressure bearing index to obtain a care resource regulation index for each functional area of the service to be optimized; a resource optimization feedback configuration unit for taking 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: (1) The resource optimization configuration method for the integrated childcare and kindergarten services, by integrating individual childcare characteristic data and resource service data, constructs a two-way index system of comprehensive care demand index and resource pressure bearing index, and then forms a care resource regulation index based on the actual care demand, so as to accurately reflect the actual care load status of the functional area, and then effectively identify the resource redundancy area and the load overload area, avoid the manpower tension and space waste caused by the mismatch of the actual childcare needs of infants and toddlers, and support the differential resource optimization decision, thereby improving the overall utilization efficiency of childcare resources, and improving the care matching accuracy and the overall resource adaptation level.

[0016] (2) The resource optimization configuration method for the integrated childcare and kindergarten services, by respectively performing feature extraction and analysis on the space resource data and care resource data of each functional area, quantifies the space service carrying index and the care resource load index, and further obtains the resource pressure bearing index, thereby effectively improving the accuracy and scientificity of the evaluation of the carrying capacity of each area, and then comprehensively reflecting the actual space carrying capacity and the human resource utilization status of each functional area, and helping the management personnel clearly identify the possible resource bottlenecks and service deficiency risk areas, and then avoiding the waste caused by the blind expansion of investment and resource misallocation, ensuring the efficient and reasonable allocation of limited resources, and thus significantly improving the overall service operation and maintenance efficiency.

[0017] (3) The method for optimizing the allocation of resources for the integrated childcare and kindergarten service can evaluate the actual changes in resource requirements of the infant groups in different functional areas under different development stages and different childcare demand scenarios by establishing a care resource regulation index system based on the combination of the resource pressure tolerance index and the comprehensive childcare demand index, form an adaptive resource allocation optimization strategy, and pre-adjust the resource allocation accordingly, thereby avoiding the response lag and supply-demand mismatch caused by the static allocation mode, achieving the demand orientation and dynamic optimization of the childcare service, significantly improving the childcare quality and comfort experience during the growth of infants, and strengthening the overall competitive advantage and user satisfaction of the childcare and kindergarten service.

[0018] (4) The resource integration platform for the integrated childcare and kindergarten service forms a platform-based application of the method for optimizing the allocation of childcare resources by setting up a resource data acquisition unit, a resource feature analysis unit, a resource regulation analysis unit, and a resource optimization feedback configuration unit, thus effectively improving the accuracy and practicality of the management decision-making process. For example, in the rest area of a certain childcare institution, when the platform identifies that the individual childcare demand index of infants in this area is relatively high, but the space service carrying index and the care resource load index are at a medium or low level, it indicates that there is a shortage of resource supply. At this time, the platform can quickly give a specific and clear optimization process according to the care resource regulation index obtained from the comprehensive analysis, so as to achieve the precise matching and configuration optimization of resource supply and demand, ensure that the resource investment is consistent with the actual demand, effectively avoid the waste of human and space resources, and significantly improve the accuracy of the service of the childcare institution.

[0019] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flowchart of the method for optimizing the allocation of resources for the integrated childcare and kindergarten service of the present invention.

[0021] Figure 2 It is a flowchart of the specific steps for obtaining the space service carrying index of each functional area of the service to be optimized in the method for optimizing the allocation of resources for the integrated childcare and kindergarten service of the present invention.

[0022] Figure 3 It is a regional sequence diagram of the space tension load index in the method for optimizing the allocation of resources for the integrated childcare and kindergarten service of the present invention.

[0023] Figure 4 It is a regional sequence diagram of the space flow adaptation structure order index in the method for optimizing the allocation of resources for the integrated childcare and kindergarten service of the present invention.

[0024] Figure 5 It is a block diagram of the resource integration platform for the integrated childcare and kindergarten service of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0025] Please refer to Figure 1 , an embodiment of the present invention provides a technical solution: a method for optimizing the allocation of resources for integrated childcare services, including the following steps: obtaining resource service data for each functional area (including but not limited to rest areas, activity areas) of the service to be optimized (integrated childcare), where the resource service data includes space resource data and care resource data; respectively performing feature extraction and analysis on the resource service data of each functional area of the service to be optimized to obtain the space service carrying index and care resource load index of each functional area of the service to be optimized, and performing comprehensive analysis to obtain the resource pressure tolerance index of each functional area of the service to be optimized. The specific calculation formula for calculating the resource pressure tolerance index of a certain functional area of the service to be optimized is as follows: ; where is the resource pressure tolerance index of a certain functional area of the service to be optimized, is the space service carrying index of a certain functional area of the service to be optimized, is the space adjustment index stored in the database, is the care resource load index of a certain functional area of the service to be optimized, is the care adjustment index stored in the database, is the superposition adjustment coefficient stored in the database; and obtaining the individual care characteristic data of infants and young children in each functional area of the service to be optimized, performing data analysis to obtain the comprehensive care demand index of each functional area of the service to be optimized, and performing 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; taking preset resource optimization allocation measures for each functional area of the service to be optimized based on the care resource regulation index.

[0026] It should be noted that the in the formula is used to adjust the superposition effect of the space service carrying index and the care resource load index to avoid the resource pressure tolerance index being too high or too low.

[0027] , , It can be obtained through the following steps: Based on historical data, determine the initial influence weights of each variable (spatial service carrying index, care resource load index) on the resource pressure tolerance index through statistical regression analysis. Then, use the perturbation response analysis method (that is, set different value ranges 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 influence trend of each parameter perturbation on the output result) to adjust the value range of the coefficients 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 algorithms) to ensure that the formula can accurately reflect the pressure state of the actual resources.

[0028] The specific formula for calculating the care resource regulation index of a certain functional area of the service to be optimized is as follows: ; where is the care resource regulation index of a certain functional area of the service to be optimized, is the comprehensive care demand index of a certain functional area of the service to be optimized, is the comprehensive care adjustment coefficient stored in the database, is the resource pressure tolerance index of a certain functional area of the service to be optimized, is the resource pressure adjustment coefficient stored in the database, is the regulation interaction adjustment coefficient stored in the database.

[0029] It should be explained that in the formula this term is used to automatically amplify the regulation response dynamically when there is a difference between the comprehensive care demand index and the resource pressure tolerance index, so as to enhance the difference of the regulation model in the extreme supply-demand imbalance situation.

[0030] , , It can be obtained through the following steps: Use historical data, combine the comprehensive care demand index and the resource pressure tolerance index, conduct statistical regression analysis, quantify the specific influence of each factor on the care resource regulation index, and thus fit the initial weight values. Secondly, use the perturbation response analysis method (that is, set different value ranges for the above two variables, and gradually adjust their values while keeping other parameters unchanged, and calculate the change range of the care resource regulation index to test the influence trend of each parameter perturbation on the output result) to adjust the value range of each coefficient, observe its influence on the care resource regulation evaluation result, 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 initially fitted coefficients, and finally determine the coefficient values applicable to a specific functional area.

[0031] Specifically, such as Figure 2As shown, the spatial resource data includes the ratio of equipment area occupancy, regional congestion index, spatial net density ratio, rationality index of structural layout, and effective access ratio of entrances and exits. The specific steps to obtain the spatial service carrying index of each functional area of the service to be optimized are as follows: comprehensively analyze the spatial resource data of each functional area of the service to be optimized to obtain the spatial evaluation index set of each functional area of the service to be optimized, including the spatial tension load index (quantitatively evaluating the tension degree of occupied spatial resources) and the spatial flow adaptation and order index (quantitatively evaluating the rationality of the internal spatial structure layout of the area); comprehensively analyze 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.

[0032] Among them, the ratio of equipment area occupancy is the ratio of the area occupied by fixed facilities such as furniture and equipment in this functional area (which can be obtained by accumulating the sizes of various equipment stored in the database) to the total area of the region (the planar area enclosed by the actual physical boundary of the functional area, which can be obtained from the design data table stored in the database). The regional congestion index is the ratio of the actual number of infants in this functional area to the approved designed occupancy number of the area (which can be obtained from the design table stored in the database), where the actual number of infants can be obtained by acquiring the number of infants present in several historical records (obtained from the sign-in record table stored in the database) and performing an average processing.

[0033] The spatial net density ratio is the ratio of the actual number of infants in this area to the actual available activity area (i.e., the difference between the total area of the region and the area occupied by fixed facilities).

[0034] The rationality index of structural layout is the spatial distribution balance degree among various facilities in the functional area, that is, obtain the distance values between each facility (the center point of the facility) in this area and all facilities within its preset range (such as 1.5m) (that is, use a portable laser rangefinder combined with a coordinate acquisition App for rapid acquisition. Taking the lower left corner as the set spatial origin as a reference, measure the distances from the center points of each facility to the horizontal and vertical boundaries respectively, and upload them to the coordinate acquisition App to automatically generate the corresponding two-dimensional plane coordinates, and then calculate the distance values based on the Euclidean distance formula), and perform standard deviation processing, and perform average processing based on the standard deviation processing results. The obtained result is the rationality index of structural layout.

[0035] The effective access ratio of entrances and exits is the ratio of the total effective width of entrances and exits in this area (the total net width of all entrances and exits available for infants to pass through, excluding non-passable window sills, small doors, equipment holes, etc., which can be measured by a laser rangefinder and the measurement results are uploaded to the database) to the perimeter of the regional boundary (which can be obtained from the design data table stored in the database).

[0036] And the specific formula for calculating the spatial service carrying index of a certain functional area of the service to be optimized is as follows: ; where is the spatial service carrying index of a certain functional area of the service to be optimized, is the spatial tension load index of a certain functional area of the service to be optimized, is the tension load adjustment coefficient stored in the database, is the spatial flow adaptation order index of a certain functional area of the service to be optimized, is the flow adaptation order adjustment coefficient stored in the database, is the collaborative adjustment coefficient stored in the database.

[0037] It should be explained that , , 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 adaptation order index) on the spatial service carrying index through statistical regression analysis. Then, use the perturbation response analysis method (set multiple value ranges for the above two variables respectively, and input test values one by one while keeping other parameters unchanged and calculate the output spatial service carrying index to observe the change trend and response amplitude of the output results, so as to verify the influence degree of each coefficient on the model stability) to adjust the value range of the coefficients 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 algorithms) to ensure that the formula can accurately reflect the actual spatial service carrying state.

[0038] The specific implementation example of calculating the spatial service carrying index of a certain functional area of the service to be optimized is as follows. The following data is available: including the spatial tension load index and spatial flow adaptation order index of five functional areas of the service to be optimized, as shown in Table 1 and Figure 3-4 shown as follows: Table 1 Example of regional sequence data of the care assessment index set of the service to be optimized

[0039] The tension load adjustment coefficient stored in the database is approximately: 0.492; The flow adaptation order adjustment coefficient stored in the database is approximately: 0.612; The collaborative adjustment coefficient stored in the database is approximately: 0.426; Substitute the data in Table 1 and the above adjustment coefficients into the specific formula for calculating the spatial service carrying index of a certain functional area of the service to be optimized, and we get: The spatial service carrying index of the first functional area of the service to be optimized = ln(1 + ((1 / (1 + 0.613)) 0.492 ×0.732 0.612 )) 1 / （1+0.426） ) ≈ 0.554; The spatial service carrying index of the second functional area of the service to be optimized = ln(1 + ((1 / (1 + 0.0.482)) 0.492 ×0.816 0.612 )) 1 / （1+0.426） ) ≈ 0.588; The spatial service carrying index of the third functional area of the service to be optimized = ln(1 + ((1 / (1 + 0.694)) 0.492 ×0.688 0.612 )) 1 / （1+0.426） ) ≈ 0.536; The spatial service carrying index of the fourth functional area of the service to be optimized = ln(1 + ((1 / (1 + 0.41)) 0.492 ×0.628 0.612 )) 1 / （1+0.426） ) ≈ 0.524; The spatial service carrying index of the fifth functional area of the service to be optimized = ln(1 + ((1 / (1 + 0.537)) 0.492 ×0.774 0.612 )) 1 / （1+0.426） ) ≈ 0.582.

[0040] The specific steps to obtain the spatial evaluation index set of each functional area of the service to be optimized are as follows: comprehensively analyze the equipment area occupancy ratio, regional congestion index, and spatial net density ratio of each functional area of the service to be optimized (that is, first perform standardization processing and then perform weighted processing based on the results of the standardization processing) to obtain the spatial tension load index of each functional area of the service to be optimized; comprehensively analyze the structural layout rationality index and the effective access ratio of the entrances and exits of each functional area of the service to be optimized (that is, first perform standardization processing and then perform weighted processing based on the results of the standardization processing) to obtain the spatial flow adaptation and structure order index of each functional area of the service to be optimized.

[0041] In this implementation plan, based on multiple clearly quantified specific indicators such as the ratio of equipment area occupancy, regional congestion index, spatial net density ratio, structural layout rationality index, and effective access ratio of entrances and exits, etc., the actual utilization and structural configuration of the spatial resources in the functional area are deeply quantified, overcoming the defects of the traditional space evaluation method being too rough and subjective, and effectively avoiding the decision-making errors caused by human factors. Secondly, the setting of the two indicators of the spatial tension load index and the spatial flow adaptation and order index makes the evaluation of the spatial service load no longer a single static process, but transformed into a comprehensive evaluation system including two core dimensions of the spatial load state and structural rationality, thus improving the accuracy and comprehensiveness of the spatial resource diagnosis, and being conducive to conducting differential evaluations according to the spatial usage characteristics of different functional areas, providing more detailed and scientific data support for management decisions. Finally, the method combining statistical regression analysis and perturbation response analysis is adopted to scientifically determine the initial weights of each parameter, and further dynamic fitting and correction are carried out through the model optimization method, effectively improving the stability of the formula application and the flexibility of dynamic adjustment, thus significantly improving the sensitivity and accuracy of the evaluation model to the changes in the actual spatial resource carrying capacity, making the evaluation results highly consistent with the actual management needs, and then ensuring the scientificity, accuracy and stability of management decisions, and effectively avoiding the waste of spatial resources and potential safety hazards caused by resource allocation mistakes.

[0042] Specifically, the care resource data includes the care equipment coverage rate value, the care equipment intact rate value, the care equipment usage saturation value, the equipment redundancy index, the care intensity ratio, the skill distribution index, and the consumption value of care supplies. The specific steps to obtain the care resource load index for each functional area of the service to be optimized are as follows: comprehensively analyze the care resource data for each functional area of the service to be optimized respectively to obtain the care evaluation index set for each functional area of the service to be optimized, including the 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 and matching for the care service demand) and the service support and load index (measuring the continuous load capacity level of care human and material resources for care service tasks); and comprehensively analyze (i.e., weighted processing) the care evaluation 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.

[0043] Among them, the care equipment coverage rate value is the ratio of the number of care equipment (such as nursing beds) used in this functional area to the number of infants and young children, and it can be obtained by taking the mean value of the ratio of the historical number of care equipment used in this functional area in several historical times (obtained through the equipment inspection registration form stored in the database) to the historical number of infants and young children (obtained through the attendance record stored in the database).

[0044] The intact rate value of care equipment is the ratio of the number of equipment in normal use (obtained from the equipment inspection registration form stored in the database) to the total number of equipment (obtained from the equipment inspection registration form stored in the database).

[0045] The equipment redundancy index measures the redundancy degree of care equipment configuration in this functional area. It can be obtained by getting the total number of each type of care equipment in this functional area (obtained from the equipment inspection registration form stored in the database), the reasonable equipment demand (i.e., the standard configuration ratio, for example, a dining table can be used by 4 children together, and get the number of infants in this area, then multiply by this standard configuration ratio), and performing a ratio process, 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 a weighted average process based on the ratio process result. The obtained result is the equipment redundancy index.

[0046] The care intensity ratio quantifies the service load level of infants corresponding to each caregiver. It can be obtained by getting the number of infants to be cared for by each caregiver in several historical times and performing an average process. The obtained result is the care intensity ratio.

[0047] The skill distribution index quantifies the care level of caregivers. It can be obtained by getting the skill certificate level of each caregiver (junior nursery caregiver is level five, intermediate nursery caregiver is level four, senior nursery caregiver is level three, technician is level two, senior technician is level one, and it can be obtained from the personnel information form stored in the database), and performing a standard deviation process. The obtained result is the skill distribution index.

[0048] The consumption value of nursing supplies is the actual number of used nursing supplies. It can be obtained by getting the historical nursing supply quantity values used in several historical days (obtained from the material management form stored in the database) and performing an average process.

[0049] The specific steps to obtain the care evaluation index set of each functional area of the service to be optimized are as follows: comprehensively analyze the care equipment coverage rate value, care equipment intact rate value, and care equipment usage saturation value of each functional area of the service to be optimized (that is, first perform a normalization process, and perform a weighted process based on the standardized process result) to obtain the care facility adaptation index of each functional area of the service to be optimized; comprehensively analyze the care intensity ratio, skill distribution index, and consumption value of nursing supplies of each functional area of the service to be optimized (that is, first perform a normalization process, and perform a weighted process based on the standardized process result) to obtain the service support bearing index of each functional area of the service to be optimized.

[0050] In this implementation plan, through the comprehensive analysis of care resource parameters with clear physical and management meanings, a comprehensive structured assessment of the current status of care resource allocation in functional areas is achieved, and a dual-index system of care facility adaptation index and service support bearing 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 resources and materials. For example, the care facility adaptation index can reveal whether the equipment configuration in a certain area effectively supports the care needs, avoiding problems such as space waste and service disconnection caused by equipment gaps or redundancies. Secondly, the entire evaluation process adopts data normalization and standardization processing methods, and is combined with a weighted analysis mechanism to ensure that various data with different dimensions and magnitudes can be reasonably processed and integrated on the same scale, thereby improving the accuracy and adaptability of the evaluation model. For example, although the consumption of nursing supplies is an absolute value and the skill distribution index is a statistical discrete value, both can enter a unified evaluation framework through normalization in this model, thus avoiding problems such as information distortion or partial weight, and then ensuring that the final care resource load index is more objective and valuable for comparison. Finally, this care resource load index not only provides a core reference tool for quantitative evaluation for nursery management parties, but also can be used as an input signal source for optimizing the process trigger mechanism to drive subsequent management actions such as resource reallocation, facility update, personnel adjustment, and nursing material procurement, with strong engineering application potential and practical implementation value.

[0051] Specifically, the individual care characteristics data of infants and young children include the developmental care index, nursing frequency value, environmental impact factor, and skin surface temperature fluctuation value of each infant and young child. The specific steps to obtain the comprehensive care demand index of each functional area of the service to be optimized are as follows: standardize the developmental care index, nursing frequency value, environmental impact factor, and skin surface temperature fluctuation value of each infant and young child in each functional area of the service to be optimized; and conduct a comprehensive analysis of the standardized developmental care index, nursing frequency value, environmental impact factor, and skin surface temperature fluctuation value of each infant and young child in each functional area of the service to be optimized to obtain the care demand index of each infant and young child in each functional area of the service to be optimized; take the mean value of 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.

[0052] Among them, the developmental care index is the physical load level generated by the physical development status of infants and young children on care work. It can be obtained by acquiring the month age value, weight value, and height value of the infant and young child, conducting standardization processing, and performing weighted processing based on the standardization processing results. The obtained result is the developmental care index. The month age value, weight value, and height value can all be obtained from the health record form stored in the database.

[0053] The nursing frequency value is the total number of care operations performed on a certain infant within a unit of time (such as daily), including but not limited to diaper changing, feeding, etc., and it can be obtained from the nursing log in the database.

[0054] The environmental impact factor is the degree of influence of the environment on the care of infants. It can be obtained by acquiring the daily environmental temperature value (obtained through a temperature sensor), environmental wind speed value (obtained through a wind speed sensor), environmental humidity value (obtained through a humidity sensor), and environmental noise value (obtained through a decibel sensor), and then performing standardization processing, weighted processing based on the standardization processing results, and finally mean processing. The resulting value is the environmental impact factor.

[0055] The skin surface temperature fluctuation value is the difference between the maximum and minimum skin temperatures per day, and both the maximum and minimum skin temperatures can be obtained through a thermometer and the results are uploaded to the database.

[0056] 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: ; where is the care demand index of a certain infant in a certain functional area of the service to be optimized, is the nursing frequency value of a certain infant in a certain functional area of the service to be optimized after standardization processing, is the frequency adjustment coefficient stored in the database, is the developmental care index of a certain infant in a certain functional area of the service to be optimized after standardization processing, is the developmental care adjustment coefficient stored in the database, is the interaction adjustment coefficient stored in the database, is the environmental impact factor of a certain infant in a certain functional area of the service to be optimized after standardization processing, is the environmental adjustment coefficient stored in the database, is the skin surface temperature fluctuation value of a certain infant in a certain functional area of the service to be optimized after standardization processing, is the fluctuation adjustment coefficient stored in the database.

[0057] It should be explained that the term in the formula is used to adjust the interaction between the nursing frequency value and the developmental care index to avoid the care demand index being too high or too low.

[0058] 、 、 、 、 It can be obtained through the following steps: Using historical data, combining the nursing frequency value, the developmental care index, the environmental impact factor, and the skin surface temperature fluctuation value, conduct a statistical regression analysis to quantify the specific impact of each factor on the care demand index, so as to fit the initial weight value. Secondly, use the perturbation response analysis method (set multiple value ranges for each of the above variables respectively, and input test values one by one while keeping other parameters unchanged and calculate the output care demand index to observe the change trend and response amplitude of the output results, so as to verify the influence degree of each coefficient on the model stability), adjust the value range of each coefficient, observe its impact on the care demand assessment result, 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 initially fitted coefficients, and finally determine the coefficient values applicable to specific functional areas.

[0059] In this implementation plan, by comprehensively introducing four highly detailed evaluation parameters, namely the developmental care index, the nursing frequency value, the environmental impact factor, and the skin surface temperature fluctuation value of the individual infants and young children, the refinement, differentiation, and pertinence of the evaluation are ensured, and then the accuracy of the individual demand assessment is improved. Secondly, the standardization and weighted analysis methods are adopted to effectively balance the scale differences and influence strengths among the parameters, so that each parameter can participate in the calculation process of the comprehensive index fairly and objectively, and by explicitly quantifying the non-linear interaction between the parameters, such as the interaction adjustment coefficient set between the nursing frequency value and the developmental care index, the over-high or over-low of the index calculation result is avoided, and then the stability and rationality of the index calculation are improved. Finally, through repeated optimization and adjustment of the coefficients by combining statistical regression analysis and perturbation response analysis, the blindness and arbitrariness of the weight coefficient setting are avoided, the practical value of the model is enhanced, so that the finally obtained care demand index can stably and accurately reflect the true care demand status of infants and young children, thereby improving the refinement degree and decision-making quality of the care management in kindergartens and nurseries, preventing the misallocation and waste of resources, and thus achieving the goal of precise and differentiated care service management centered on infants and young children.

[0060] Specifically, the specific steps for taking the preset resource optimization and allocation measures for each functional area of the service to be optimized 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 respectively; 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-pressure slow-load area (that is, there is redundancy of manpower or materials in the functional area), and the first resource optimization and allocation measure is taken, which is specifically to appropriately reduce the arrangement of care personnel and the supply frequency of nursing supplies in this area in subsequent shift scheduling and material planning, and give priority to being the source of support for the manpower in other areas (that is, high-pressure critical areas); 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-pressure critical area (that is, the resources in the functional area have approached or exceeded the upper limit of its carrying capacity, and there is an overload risk), and the second resource optimization and allocation measure is taken, which is specifically to increase the shift coverage rate of care personnel in this area, increase the quota of nursing supplies, and reduce the activity organization density in this area in subsequent round resource arrangements to slow down the intensity of resource consumption.

[0061] In this implementation plan, through the comparison mechanism of the care resource regulation index and its preset threshold, a resource allocation strategy for zoning risk classification is constructed, thereby realizing the precision of care resource allocation, and improving the pertinence and operational executability of management decisions. Secondly, the functional areas are divided into low-pressure slow-load areas and high-pressure critical areas, so that the scheduling of childcare resources changes from passive response to active identification and hierarchical intervention, and effectively constructs a logical closed-loop of resource flow and redistribution. Finally, based on the hierarchical judgment and countermeasure mechanism of the regulation index, the lag and misjudgment that may be caused by relying on subjective experience judgment are reduced, thereby improving the decision-making transparency and repeatability of the optimization and allocation of childcare resources.

[0062] Please refer to 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 for acquiring resource service data of each functional area of the service to be optimized, where the resource service data includes space resource data and care resource data; a resource feature analysis unit for respectively performing feature extraction and analysis on the resource service data of each functional area of the service to be optimized, obtaining the space service carrying index and care resource load index of each functional area of the service to be optimized, and performing comprehensive analysis to obtain the resource pressure bearing index of each functional area of the service to be optimized; a resource regulation analysis unit for acquiring the individual care characteristic data of infants and young children in each functional area of the service to be optimized, performing data analysis to obtain the comprehensive care demand index of each functional area of the service to be optimized, and performing comprehensive analysis in combination with the resource pressure bearing index to obtain the care resource regulation index of each functional area of the service to be optimized; a resource optimization feedback configuration unit for taking preset resource optimization configuration measures for each functional area of the service to be optimized based on the care resource regulation index.

[0063] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be interpreted to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0064] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for optimizing the allocation of resources for integrated childcare and preschool services, characterized in that, It includes the following steps: Obtain the resource service data of each functional area of the to-be-optimized childcare service, where the resource service data includes spatial resource data and care resource data; Conduct feature analysis on the resource service data of each functional area of the to-be-optimized service respectively, including the spatial service carrying index and care resource load index of each functional area of the to-be-optimized service, and conduct comprehensive analysis to obtain the resource pressure tolerance index of each functional area of the to-be-optimized service; And obtain the individual childcare characteristic data of each functional area of the to-be-optimized service, conduct data analysis to obtain the comprehensive care demand index of each functional area of the to-be-optimized service, and conduct comprehensive analysis in combination with the resource pressure tolerance index to obtain the care resource regulation index of each functional area of the to-be-optimized service; Based on the care resource regulation index, take preset resource optimization and allocation measures for each functional area of the to-be-optimized service.

2. The resource optimization allocation method for integrated childcare and kindergarten services according to claim 1, characterized in that The specific formula for calculating the care resource regulation index of a certain functional area of the to-be-optimized service is as follows: ； Among them, , , are, in sequence, the care resource regulation index, the comprehensive care demand index, and the resource pressure tolerance index of a certain functional area of the service to be optimized, , , are, in sequence, the comprehensive care adjustment coefficient, the resource pressure adjustment coefficient, and the regulation interaction adjustment coefficient stored in the database.

3. The resource optimization configuration method for integrated childcare and kindergarten services according to claim 1, wherein The spatial resource data includes the equipment area occupancy ratio, regional congestion index, spatial net density ratio, structural layout rationality index, and effective access ratio of entrances and exits. The specific steps for obtaining the spatial service carrying index of each functional area of the to-be-optimized service are as follows: Conduct comprehensive analysis on the spatial resource data of each functional area of the to-be-optimized service respectively to obtain the spatial evaluation index set of each functional area of the to-be-optimized service, including the spatial tension load index and spatial flow adaptation and order index; Conduct comprehensive analysis on the spatial evaluation index set of each functional area of the to-be-optimized service to obtain the spatial service carrying index of each functional area of the to-be-optimized service.

4. The method for optimizing the allocation of resources for integrated childcare and kindergarten services according to claim 3, wherein The specific steps for obtaining the spatial evaluation index set of each functional area of the to-be-optimized service are as follows: Conduct comprehensive analysis on the equipment area occupancy ratio, regional congestion index, and spatial net density ratio of each functional area of the to-be-optimized service to obtain the spatial tension load index of each functional area of the to-be-optimized service; Conduct comprehensive analysis on the structural layout rationality index and effective access ratio of entrances and exits of each functional area of the to-be-optimized service to obtain the spatial flow adaptation and order index of each functional area of the to-be-optimized service.

5. The resource optimization allocation method for integrated childcare and kindergarten services according to claim 1, characterized in that The care resource data includes the care equipment coverage rate value, care equipment intact rate 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 to-be-optimized service are as follows: Conduct comprehensive analysis on the care resource data of each functional area of the to-be-optimized service respectively to obtain the care evaluation index set of each functional area of the to-be-optimized service, including the care facility adaptation index and service support carrying index; And conduct comprehensive analysis on the care evaluation index set of each functional area of the to-be-optimized service to obtain the care resource load index of each functional area of the to-be-optimized service.

6. The method for optimizing the allocation of resources for integrated childcare and preschool services according to claim 5, characterized in that, The specific steps for obtaining the care evaluation index set of each functional area of the to-be-optimized service are as follows: Comprehensively analyze the coverage rate value, intact rate value, and utilization saturation value of care equipment for each functional area of the service to be optimized, and obtain the care facility adaptation index for each functional area of the service to be optimized; Comprehensively analyze the care intensity ratio, skill distribution index, and consumption value of nursing supplies for each functional area of the service to be optimized, and obtain the service support bearing index for each functional area of the service to be optimized.

7. The method for optimizing the allocation of resources for integrated childcare and kindergarten services according to claim 1, characterized in that, The infant individual care characteristic data includes the developmental care index, nursing frequency value, environmental impact factor, and skin surface temperature fluctuation value of each infant. The specific steps to obtain the comprehensive care demand index for each functional area of the service to be optimized are as follows: Standardize the developmental care index, nursing frequency value, environmental impact factor, and skin surface temperature fluctuation value of each infant in each functional area of the service to be optimized; And comprehensively analyze the developmental care index, nursing frequency value, environmental impact factor, and skin surface temperature fluctuation value of each infant in each functional area of the service to be optimized after the standardization process, and obtain the care demand index of each infant in each functional area of the service to be optimized; Perform mean processing on the care demand index of each infant in each functional area of the service to be optimized, and obtain the comprehensive care demand index for each functional area of the service to be optimized.

8. The resource optimization allocation method for integrated childcare and preschool services according to claim 1, wherein 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: ； Among them, is the care demand index of a certain infant in a certain functional area of the service to be optimized, , , , are, in sequence, the nursing frequency value, development care index, environmental impact factor, and skin surface temperature fluctuation value of a certain infant in a certain functional area of the service to be optimized after standardization processing, , , , , are, in sequence, the frequency adjustment coefficient, development care adjustment coefficient, interaction adjustment coefficient, environmental adjustment coefficient, and fluctuation adjustment coefficient stored in the database.

9. The method for optimizing the allocation of resources for integrated childcare and kindergarten services according to claim 1, characterized in that 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: 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 respectively; 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-pressure slow-load area, 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-pressure critical explosion area, and the second resource optimization allocation measure is taken.

10. A resource integration platform for integrated childcare and preschool services, which applies the resource optimization configuration method for integrated childcare and preschool services described in any one of claims 1-9, characterized in that, Including: A resource data acquisition unit for acquiring resource service data for each functional area of the service to be optimized, where the resource service data includes spatial resource data and care resource data; A resource feature analysis unit for respectively performing feature extraction and analysis on the resource service data of each functional area of the service to be optimized, obtaining the spatial service bearing index and care resource load index of each functional area of the service to be optimized, and performing comprehensive analysis to obtain the resource pressure bearing index of each functional area of the service to be optimized; A resource regulation analysis unit for acquiring the infant individual care characteristic data of each functional area of the service to be optimized, performing data analysis, obtaining the comprehensive care demand index of each functional area of the service to be optimized, and performing comprehensive analysis in combination with the resource pressure bearing index to obtain the care resource regulation index of each functional area of the service to be optimized; A resource optimization feedback configuration unit is used to adopt 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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