Disaster relief material determination method, device, equipment, medium and program

Abstract

The invention discloses a disaster relief material determination method, which comprises the steps of obtaining the number of people needing to be rescued reported by a plurality of disaster areas, and determining the number of people needing to be rescued in the disaster areas when the number of people needing to be rescued in the disaster areas meets a number constraint condition and the disaster areas are not preset areas, the method comprises the following steps: acquiring at least one disaster statistical data of a crop disaster area, a crop non-harvest area, disaster population data, death population data, missing population data, collapsed house data, damaged house data and regional economic loss data reported by a disaster area; determining resource allocation data of the disaster-affected areas according to the area resource information and the area population data of the disaster-affected areas, determining disaster situation index data corresponding to each disaster situation statistical data, and determining disaster-affected levels corresponding to each disaster area according to the multiple disaster situation index data; the disaster relief material data of each disaster area is determined according to the number of people needing rescue, the disaster level, the disaster statistical data and the resource distribution data, and the rescue precision and rescue efficiency of the disaster area can be improved.

Description

Technical Field

[0001] The present invention relates to the field of information processing technologies, and in particular, to a method, device, equipment, medium, and program for determining disaster relief supplies. Background Art

[0002] Due to the impact of natural disasters, the basic living conditions of affected people in some areas are difficult every year. How to do a good job in disaster emergency assistance for affected areas is an urgent problem to be solved.

[0003] In the prior art, disaster relief for affected areas is generally carried out through winter and spring relief. Before the implementation of winter and spring relief work, affected areas should organize forces to conduct in-depth investigations at the grass-roots level on the disaster losses in that year, and promptly report the difficulties and needs in aspects such as food rations, clothing, and heating for affected and needy people. Then, the corresponding disaster relief supplies are determined based on the needs in aspects such as food rations, clothing, and heating for affected and needy people.

[0004] However, relying solely on the investigations before winter and spring relief may not be able to comprehensively and real-time reflect the different specific needs changes of affected people. Therefore, the distribution and scheduling of disaster relief supplies may not be accurately matched to the actual needs, resulting in waste of resources or insufficient assistance, leading to problems of poor accuracy and low efficiency in emergency assistance. Summary of the Invention

[0005] The present invention provides a method, device, equipment, medium, and program for determining disaster relief supplies, which can improve the determination accuracy of disaster relief supplies in affected areas and enhance the emergency assistance efficiency for affected areas.

[0006] According to one aspect of the present invention, a method for determining disaster relief supplies is provided, including:

[0007] Obtaining the number of people in need of assistance reported by multiple affected areas, and when the number of people in need of assistance in the affected area meets a preset quantity constraint condition and the affected area is not a preset area, obtaining multiple pieces of disaster situation statistical data reported by the affected area; wherein, the disaster situation statistical data includes at least one of the crop affected area, crop total failure area, affected population data, death population data, missing population data, collapsed house data, damaged house data, and regional economic loss data;

[0008] Determining the resource allocation data of the affected area according to the regional resource information and regional population data of the affected area, determining the disaster situation index data corresponding to each piece of the disaster situation statistical data, and determining the affected level corresponding to each disaster area according to multiple pieces of the disaster situation index data;

[0009] Determining the disaster relief supply data of each affected area according to the number of people in need of assistance, the affected level, the disaster situation statistical data, and the resource allocation data.

[0010] According to another aspect of the present invention, there is provided a device for determining disaster relief supplies, including:

[0011] A data acquisition module, configured to acquire the number of people in need of assistance reported by multiple disaster-stricken areas, and when the number of people in need of assistance in the disaster-stricken area meets a preset quantity constraint condition and the disaster-stricken area is not a preset area, acquire multiple pieces of disaster situation statistical data reported by the disaster-stricken area; wherein, the disaster situation statistical data includes at least one of the crop affected area, the crop total failure area, the affected population data, the death population data, the missing population data, the collapsed house data, the damaged house data, and the regional economic loss data;

[0012] A disaster level determination module, configured to determine the resource allocation data of the disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, determine the disaster situation index data corresponding to each piece of the disaster situation statistical data, and determine the disaster level corresponding to each disaster area according to multiple pieces of the disaster situation index data;

[0013] A disaster relief supply determination module, configured to determine the disaster relief supply data of each disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data.

[0014] According to another aspect of the present invention, there is provided an electronic device, the electronic device includes:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining disaster relief supplies according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, there is provided a computer-readable storage medium, the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the method for determining disaster relief supplies according to any embodiment of the present invention when executed by a processor.

[0019] According to another aspect of the present invention, there is provided a computer program product, the computer program product includes a computer program, and the computer program implements the method for determining disaster relief supplies according to any embodiment of the present invention when executed by a processor.

[0020] The technical solution of the embodiment of the present invention obtains the number of people in need of assistance reported by multiple disaster-stricken areas. When the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint condition and the disaster-stricken area is not a preset area, it obtains multiple disaster situation statistical data reported by the disaster-stricken area. The disaster situation statistical data includes at least one of the affected area of crops, the area of crops with no harvest, the data of affected population, the data of dead population, the data of missing population, the data of collapsed houses, the data of damaged houses, and the data of regional economic losses. It determines the resource allocation data of the disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, determines the disaster situation index data corresponding to each piece of disaster situation statistical data, and determines the disaster level corresponding to each disaster area according to multiple disaster situation index data. It determines the disaster relief material data of each disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data, which can improve the accuracy and efficiency of disaster relief for the disaster area.

[0021] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Brief Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0023] Figure 1 It is a flowchart of a method for determining disaster relief materials according to Embodiment 1 of the present invention;

[0024] Figure 2 It is a flowchart of another method for determining disaster relief materials according to Embodiment 2 of the present invention;

[0025] Figure 3 It is a schematic structural diagram of a device for determining disaster relief materials according to Embodiment 3 of the present invention;

[0026] Figure 4 It is a schematic structural diagram of an electronic device for implementing the method for determining disaster relief materials provided by the embodiment of the present invention. Detailed Embodiments

[0027] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 FIG. 10 is a flowchart of a method for determining disaster relief materials according to Embodiment 1 of the present invention. This embodiment is applicable to the situation of determining the disaster relief material data of the disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data in the disaster-stricken area. This method can be executed by a device for determining disaster relief materials, and the device for determining disaster relief materials can be implemented in the form of hardware and / or software, and the device for determining disaster relief materials can be configured in an electronic device. As Figure 1 shown, the method includes:

[0031] S110. Obtain the number of people in need of assistance reported by multiple disaster-stricken areas. When the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint condition and the disaster-stricken area is not a preset area, obtain multiple pieces of disaster situation statistical data reported by the disaster-stricken area.

[0032] Among them, the disaster-stricken area can be an area that has been hit by various natural disasters and caused material losses or casualties, etc., and needs to be assisted during winter and spring disaster relief. Exemplarily, in winter and spring disaster relief work, the disaster-stricken areas are usually those areas where the basic living is difficult during winter and spring due to reasons such as the restoration and reconstruction of collapsed houses in the current year caused by natural disasters, the reduction or failure of crop yields, the loss of household property, and the serious loss of agricultural products. The number of people in need of assistance can be reported independently by the disaster-stricken area, which is the number of people in this area who need to be assisted. For example, the number of people in need of food assistance and the number of people in need of heating assistance, etc., are the number of people in need of assistance.

[0033] Among them, the quantity constraint condition can be a condition for screening or detecting the number of people in need of assistance reported by the disaster-stricken area. The quantity constraint condition can include that the number of people in need of assistance reported by the disaster-stricken area is less than or equal to a preset quantity, or the number of people in need of assistance is greater than the total population of the disaster-stricken area. The preset quantity can be 0 or other preset quantities. By detecting the number of people in need of assistance through the preset quantity constraint condition, it is possible to screen out the disaster-stricken areas that do not need assistance or unreasonable data caused by reporting errors or other reasons, and make targeted processing, which can further ensure the authenticity and rationality of the data and improve the determination accuracy of disaster relief materials for the disaster-stricken area. The preset area can be preset, and it is an area where the disaster relief material data of this area can be determined according to the number of people in need of assistance reported by this area. For example, areas such as key assistance areas with easy shortage of rations and alpine and cold areas with high heating difficulty affected by house collapses that meet the preset quantity constraint conditions. The disaster situation statistical data can be reported by the disaster-stricken area or statistically obtained through other channels for the disaster situation data of the disaster-stricken area within a preset time period. The disaster situation statistical data can include at least one of data such as the area of affected crops, the area of crops with no harvest, the data of affected population, the data of dead population, the data of missing population, the data of collapsed houses, and the data of damaged houses.

[0034] Specifically, the number of people in need of assistance reported by multiple disaster-stricken areas can be obtained, and the number of people in need of assistance reported by each disaster-stricken area can be compared with the total population of each disaster-stricken area. When the number of people in need of assistance in the disaster-stricken area is less than or equal to the total population and the number of people in need of assistance is greater than or equal to a preset number, it indicates that the number of people in need of assistance reported by this area is a reasonable number of people in need of assistance. When the number of people in need of assistance reported by the disaster-stricken area is a reasonable number of people in need of assistance, it can be further determined whether the disaster-stricken area is a preset area. If the disaster-stricken area is not a preset area, multiple disaster statistics data such as the affected area of crops, the area of crops with no harvest, the data of affected population, the data of deceased population, the data of missing population, the data of collapsed houses, the data of damaged houses, and the regional economic loss data in the disaster-stricken area are obtained. The regional economic loss data can be the economic loss data generated by the disaster situation reported by the disaster-stricken area. By screening according to the reported number of people in need of assistance, unreasonable data can be eliminated, thereby improving the processing accuracy of the data. When the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint conditions and the disaster-stricken area is not a preset area, obtaining the corresponding disaster statistics data of the disaster-stricken area can avoid redundant processing of unqualified conditions and improve the data processing efficiency.

[0035] Exemplarily, in a single winter and spring disaster relief work, the number of people in need of assistance reported by multiple disaster-stricken areas such as A, B, and C is received. Then, the number of people in need of assistance reported by each disaster-stricken area is compared with its total population, and whether it meets the preset quantity constraint conditions (that is, the number of people in need of assistance is less than or equal to the total regional population and greater than 0). Taking the disaster-stricken area A as an example, the reported number of 500 people in need of assistance in this area neither exceeds the total population of 1000 people nor is less than 0, indicating that this disaster-stricken area can meet the quantity constraint conditions. Then it is determined that area A is not a preset key assistance area (such as area E where rations are prone to shortage or area F, a high-cold area where it is difficult to keep warm due to collapsed houses). In this case, multiple disaster situation statistics data reported by the disaster-stricken area A, including the affected area of crops, the area of crops with no harvest, the data of affected population, the data of collapsed houses, and the data of damaged houses, can be further obtained to provide data support for determining the number of people in need of assistance in area A and the relief supplies corresponding to the people in need of assistance.

[0036] S120. Determine the resource allocation data of the disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, determine the disaster situation index data corresponding to each disaster situation statistics data, and determine the affected level corresponding to each disaster area according to multiple disaster situation index data.

[0037] Among them, the regional resource information of the disaster-stricken area can be the material characteristic information that each disaster-stricken area already had before the disaster. The regional resource information can include the crop planting area information of the disaster-stricken area or the regional resource information before the disaster within the region such as the number of houses. The regional population data can be the quantity data of different types of populations statistically counted within the region. The regional population data can include the quantity information related to the population of the region such as the number of agricultural populations and the total regional population. The resource allocation data can be calculated based on the regional resource information and regional population data of the disaster-stricken area, and it is the per capita diet allocation information and heating allocation information within the region before the disaster. For example, the per capita crop sown area (diet allocation information) within the region before the disaster can be determined according to the crop planting area and the number of agricultural populations, and the per capita housing quantity information (heating allocation information) within the region before the disaster can also be determined according to the number of houses and the total regional population.

[0038] Among them, the disaster situation index data can be obtained by processing a plurality of disaster situation statistical data, and it is the index data corresponding to each disaster situation statistical data. The disaster situation index data corresponding to each disaster situation statistical data can be used to characterize the relative severity of the corresponding original disaster situation statistical data in the overall disaster situation statistical data, enabling data of different units and different dimensions to be comprehensively analyzed on the same scale, so as to determine the disaster severity corresponding to each disaster-stricken area according to the disaster situation index data corresponding to a plurality of disaster situation statistical data. The embodiment of the present invention does not specifically limit the determination method of the disaster situation index data, and it can be obtained by normalizing a plurality of disaster situation statistical data, or can be calculated by other methods. The disaster level can be preset and is used to characterize the level of the disaster severity of the disaster-stricken area. The embodiment of the present invention does not specifically limit the determination method of the disaster level and the basis for level division.

[0039] Specifically, after obtaining the quantity of the population in need of assistance that meets the preset quantity constraint condition and the multiple disaster situation statistical data of each disaster-stricken area that is not a preset region, the multiple disaster situation statistical data of each disaster-stricken area are processed to obtain multiple disaster situation index data corresponding to the multiple disaster situation statistical data of each disaster-stricken area, and the disaster severity of each disaster-stricken area, that is, the disaster level of each disaster-stricken area, is determined according to the multiple disaster situation index data corresponding to the multiple disaster situation statistical data of each disaster-stricken area, and the resource allocation data of the disaster-stricken area is determined according to the regional resource information and regional population data of the disaster-stricken area. By determining the resource allocation data and disaster level of the disaster-stricken area, it is possible to further understand the situation of the disaster-affected population and the disaster severity of each disaster-stricken area, thereby providing a data basis for determining disaster relief supplies, providing different disaster relief supplies for different disaster-stricken areas, and thus improving the disaster relief efficiency.

[0040] S130. Determine the disaster relief supply data for each disaster-stricken area based on the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data.

[0041] Among them, the disaster relief supply data can be the disaster relief supply data required for each disaster-stricken area determined based on the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data. The disaster relief supply data can include at least one type of disaster relief supply data such as food assistance supplies, heating assistance supplies, and other assistance supplies.

[0042] Specifically, it can be to determine the reference number of people in need of assistance in each disaster-stricken area based on the disaster situation statistical data and the resource allocation data. By combining the number of people in need of assistance, the disaster level, and the reference number of people in need of assistance in the disaster-stricken area, determine the actual number of people in need of assistance corresponding to the disaster-stricken areas of different disaster levels. Then, determine the disaster relief supply data for each disaster-stricken area based on the actual number of people in need of assistance. By relying on the disaster situation information and material allocation information reported by each disaster-stricken area, the reference information corresponding to the disaster-stricken area can be obtained. Then, combined with the disaster level and the number of people in need of assistance reported by the disaster-stricken area, determine the actual number of people in need of assistance. Then, determine the disaster relief supplies for each disaster-stricken area based on the actual number of people in need of assistance, which can avoid waste of disaster relief resources and improve the accuracy and efficiency of disaster relief for disaster-stricken areas.

[0043] Exemplarily, it can be to determine the reference assistance population information for each type of disaster relief supply corresponding to the disaster-stricken area based on the disaster situation statistical data and the resource allocation data of the disaster-stricken area (the population information for which each type of material is needed in each area obtained through calculation, different from the number of people in need of assistance reported by the disaster-stricken area, and this information is obtained through objective data calculation). By combining the reference assistance population information, the number of people in need of assistance reported by the disaster-stricken area, and the disaster level of the disaster-stricken area, determine the actual population information for each type of disaster relief supply required in each disaster-stricken area (obtained through comprehensive calculation by combining the number of people in need of assistance information reported by the disaster-stricken area and the disaster situation statistical data of the disaster-stricken area, and used to finally determine the actual disaster-affected population information for disaster relief supplies). Then, determine the information for each type of material required in each disaster-stricken area based on the actual population information of each disaster-stricken area.

[0044] The technical solution of the embodiment of the present invention is to obtain the number of people in need of assistance reported by multiple disaster-stricken areas. When the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint condition and the disaster-stricken area is not a preset area, obtain multiple pieces of disaster situation statistical data reported by the disaster-stricken area. The disaster situation statistical data includes at least one of the affected area of crops, the area of crops with no harvest, the data of affected population, the data of dead population, the data of missing population, the data of collapsed houses, the data of damaged houses, and the data of regional economic losses. Determine the resource allocation data of the disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, determine the disaster situation index data corresponding to each piece of disaster situation statistical data, and determine the disaster level corresponding to each disaster area according to multiple disaster situation index data. Determine the relief supplies data of each disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data, which can improve the relief accuracy and efficiency for the disaster-stricken area.

[0045] Embodiment 2

[0046] Figure 2 It is a flowchart of another method for determining relief supplies provided by Embodiment 2 of the present invention. On the basis of the above embodiment, for obtaining the number of people in need of assistance reported by multiple disaster-stricken areas, when the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint condition and the disaster-stricken area is not a preset area, obtaining multiple pieces of disaster situation statistical data reported by the disaster-stricken area; determining the resource allocation data of the disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, determining the disaster situation index data corresponding to each piece of disaster situation statistical data, and determining the disaster level corresponding to each disaster area according to multiple disaster situation index data; determining the relief supplies data of each disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data is further refined. As Figure 2 shown, the method includes:

[0047] S210. Obtain the number of people in need of assistance reported by multiple disaster-stricken areas. When the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint condition and the disaster-stricken area is not a preset area, obtain multiple pieces of disaster situation statistical data reported by the disaster-stricken area.

[0048] S220. Determine the resource allocation data of the disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, and perform normalization processing on each piece of disaster situation statistical data respectively to obtain the disaster situation index data corresponding to the disaster situation statistical data.

[0049] Optionally, the following formula can be used to perform normalization processing on each piece of disaster situation statistical data to obtain the disaster situation index data corresponding to the disaster situation statistical data:

[0050]

[0051] Among them, Z k is the disaster situation index data corresponding to the k-th item of disaster situation statistical data; X k is the value of the k-th item of disaster situation statistical data in the disaster situation statistical data corresponding to any one of multiple disaster-stricken areas; min(X k ) is the minimum value among the k-th item of disaster situation statistical data corresponding to all disaster-stricken areas. The minimum value of the disaster situation statistical data can be a preset minimum value corresponding to the k-th item of disaster situation statistical data; max(X k ) is the maximum value among the k-th item of disaster situation statistical data corresponding to all disaster-stricken areas. The maximum value of the disaster situation statistical data can be a preset maximum value corresponding to the k-th item of disaster situation statistical data.

[0052] S230. Determine the comprehensive disaster situation index corresponding to each disaster-stricken area according to multiple disaster situation index data, and determine the disaster level corresponding to each disaster area according to the comprehensive disaster situation indexes corresponding to multiple disaster-stricken areas.

[0053] Optionally, the comprehensive disaster situation index corresponding to each disaster-stricken area can be determined according to the following formula based on multiple disaster situation index data:

[0054]

[0055] Among them, D is the comprehensive disaster situation index of the disaster-stricken area; n is the number of disaster-stricken areas, W k is the target weight data of the k-th item of disaster situation statistical data in the disaster-stricken area; the target weight data can be pre-set weight data corresponding to each disaster situation statistical data, and is used to represent the influence degree of the disaster situation statistical data on the disaster level; Z k is the normalized data corresponding to the k-th item of disaster data in the regional disaster data.

[0056] Optionally, determining the disaster level corresponding to each disaster area according to the comprehensive disaster situation indexes corresponding to multiple disaster-stricken areas may include: sorting the multiple comprehensive disaster situation indexes, and determining the disaster level of each disaster-stricken area according to the sorting result and the preset disaster classification ratio; or, determining the disaster level of each disaster-stricken area according to the comprehensive disaster situation index of each disaster-stricken area and the preset classification threshold.

[0057] Among them, the sorting result can be the result obtained by sorting according to the comprehensive disaster situation index corresponding to each disaster-affected area. The disaster situation classification ratio can be the standard for dividing different disaster-affected levels according to a preset ratio after sorting the comprehensive disaster situation indexes of the disaster-affected areas from high to low. The preset classification threshold can be the specific numerical boundary set to determine the disaster-affected level. The disaster-affected level can include the first disaster-affected level, the second disaster-affected level, and the third disaster-affected level. The disaster-affected degree of the first disaster-affected level is higher than that of the second disaster-affected level, and the disaster-affected degree of the second disaster-affected level is higher than that of the third disaster-affected level. For example, taking the case where the preset classification threshold includes the first threshold and the second threshold as an example, if the comprehensive disaster situation index greater than or equal to the first threshold is classified as the first disaster-affected level, the one greater than or equal to the second threshold and less than the first threshold is classified as the second disaster-affected level, and the one less than the second threshold is classified as the third disaster-affected level, then it means that when evaluating the disaster-affected level of each disaster-affected area, the disaster-affected level corresponding to the disaster-affected area can be determined by comparing the size relationship between its comprehensive disaster situation index and these two thresholds.

[0058] Exemplarily, determining the disaster-affected level of each disaster-affected area according to the sorting result and the preset disaster situation classification ratio can be: If the preset classification ratio is 30% for the first disaster-affected level, 40% for the second disaster-affected level, and the remaining 30% for the third disaster-affected level, then it means that after sorting the comprehensive disaster situation indexes of all disaster-affected areas, the first 30% of the disaster-affected areas will be classified as the first disaster-affected level, the next 40% will be classified as the second disaster-affected level, and the last 30% will be classified as the third disaster-affected level. Determining the disaster-affected level of each disaster-affected area according to the comprehensive disaster situation index of each disaster-affected area and the preset classification threshold can be: If the comprehensive disaster situation index of a certain disaster-affected area is higher than or equal to the first threshold, then this area is classified as the first level; if its comprehensive disaster situation index is lower than the first threshold but higher than or equal to the second threshold, it is classified as the second level; if its comprehensive disaster situation index is lower than the second threshold, it is classified as the third level. By using the preset disaster situation classification ratio or the preset classification threshold to determine the disaster-affected level of the disaster-affected area, the severity of each disaster-affected area can be objectively and quickly evaluated, ensuring that the resource allocation is more reasonable and efficient, and further improving the speed and accuracy of the emergency response.

[0059] S240. Determine the disaster relief material data of each disaster-affected area according to the number of people in need of assistance, the disaster-affected level, the disaster situation statistical data, and the resource allocation data.

[0060] Among them, the resource allocation data may include diet allocation information. The diet allocation information may be the per capita crop sown area information calculated based on the ratio of the crop planting area to the agricultural population in the disaster-stricken area before the disaster. The diet allocation information can characterize the food self-sufficiency ability and potential diet security level of the residents in the disaster-stricken area before the disaster. The diet allocation information can be used to evaluate the impact of the disaster on the food supply in the disaster-stricken area and provide a basis for formulating the post-disaster food rescue and distribution plan in the disaster-stricken area. The number of people in need of assistance may include the number of people in need of diet assistance. The number of people in need of diet assistance may be reported independently by each disaster-stricken area, which is the number of people in the disaster-stricken area who need diet assistance due to the interruption or damage of food sources during the disaster. The disaster relief material data includes diet assistance material data. The diet assistance material data may be food, drinking water, convenient foods and other food materials for coping with the disaster or subsidy resources corresponding to the food materials.

[0061] Optionally, determining the disaster relief material data for each disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data and the resource allocation data includes: determining the reference number of people in need of diet assistance in each disaster-stricken area according to the diet allocation information, the crop affected area and the crop total failure area; determining the first number of people in the disaster-stricken area according to the number of people in need of diet assistance, the reference number of people in need of diet assistance and the disaster level, and determining the diet assistance material data for the disaster-stricken area according to the first number of people.

[0062] Among them, the reference number of people in need of diet assistance may be a preliminary estimated number of people in need of diet assistance comprehensively evaluated based on the diet allocation information (i.e., the per capita crop sown area information before the disaster), the crop affected area and the crop total failure area in the disaster-stricken area after the disaster. For example, the reference number of people in need of diet assistance can be obtained by dividing the damaged area of crops by the per capita crop sown area; the damaged area of crops is determined by the following formula: damaged area of crops = [(crop affected area - crop total failure area) / 2] + crop total failure area; the per capita crop sown area can be determined by the following formula: per capita crop sown area = crop sown area / agricultural population.

[0063] Among them, the reference number of the population receiving food assistance can characterize the direct impact of the disaster on the local crop yield and the possible resulting food shortage. The reference number of the population receiving food assistance can provide a data reference basis for determining the number of people in need of food assistance and food rescue supplies in the follow-up. The first population number can be comprehensively determined by combining the number of people receiving food assistance reported by the disaster-stricken area and the disaster level on the basis of determining the reference number of the population receiving food assistance, which is the actual number of people in the disaster-stricken area who need food assistance. The higher the disaster level, the weaker the self-help ability of the residents in the disaster-stricken area and the stronger the dependence on external rescue. Therefore, more inclination is needed when distributing food rescue supplies.

[0064] Optionally, determining the first population number of the disaster-stricken area according to the number of people receiving food assistance, the reference number of the population receiving food assistance, and the disaster level includes: when the disaster level of the disaster-stricken area is the first disaster level, determining the first population number of the disaster-stricken area according to the number of people receiving food assistance; when the disaster level of the disaster-stricken area is the second disaster level, determining the first population number of the disaster-stricken area according to the number of people receiving food assistance and the reference number of the population receiving food assistance; when the disaster level of the disaster-stricken area is the third disaster level, determining the first population number of the disaster-stricken area according to the reference number of the population receiving food assistance.

[0065] Exemplarily, when the disaster level of the disaster-stricken area is the first disaster level, it indicates that the crop disaster situation in this area is relatively serious. Therefore, the number of people receiving food assistance reported by the disaster-stricken area can be directly determined as the first population number of the disaster-stricken area; when the disaster level of the disaster-stricken area is the second disaster level, the first population number of the disaster-stricken area can be determined according to the average value of the number of people receiving food assistance and the reference number of the population receiving food assistance; when the disaster level of the disaster-stricken area is the third disaster level, the reference number of the population receiving food assistance can be determined as the first population number of the disaster-stricken area.

[0066] Among them, the resource allocation data can include heating allocation information, and the heating allocation information can be the per capita housing quantity information of the per capita heating supplies calculated based on the population number and the housing quantity in the disaster-stricken area before the disaster. The number of people in need of assistance can include the number of people receiving heating assistance, and the number of people receiving heating assistance can be reported independently by each disaster-stricken area, which is the number of people in the disaster-stricken area who need heating assistance due to house collapse or damage during the disaster. The disaster relief supply data includes heating assistance supply data, and the heating assistance supply data can be heating supplies to cope with the disaster or subsidy resources corresponding to the heating supplies, etc.

[0067] Optionally, determine the disaster relief material data for each disaster-stricken area based on the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data, including: determining the reference number of people in need of heating assistance in each disaster-stricken area based on the heating allocation information, the number of collapsed houses, and the number of damaged houses; determining the secondary population number for each disaster-stricken area based on the reference number of people in need of heating assistance and the number of people in need of heating assistance, and determining the heating assistance material data for the disaster-stricken area based on the secondary population number.

[0068] Among them, the reference number of people in need of heating assistance can be determined by the following formula: the number of people in need of heating assistance = (the number of collapsed houses + the number of damaged houses) / the heating allocation information. The number of collapsed houses and the number of damaged houses can be obtained based on the collapsed house data and the damaged house data. The secondary population number can be the number of people in need of heating assistance in the disaster-stricken area determined based on the reference number of people in need of heating assistance and the number of people in need of heating assistance.

[0069] Optionally, determine the secondary population number for each disaster-stricken area based on the reference number of people in need of heating assistance and the number of people in need of heating assistance, including: in the case where the reference number of people in need of heating assistance in the disaster-stricken area is greater than or equal to the number of people in need of heating assistance, determining the number of people in need of heating assistance as the secondary population number for the disaster-stricken area; in the case where the reference number of people in need of heating assistance in the disaster-stricken area is less than the number of people in need of heating assistance, determining the reference number of people in need of heating assistance as the secondary population number for the disaster-stricken area.

[0070] Exemplarily, after determining the reference number of people in need of heating assistance, the smaller of the reference number of people in need of heating assistance and the number of people in need of heating assistance can be determined as the secondary population number, and then the heating assistance material data for the disaster-stricken area can be determined based on the secondary population number.

[0071] Specifically, after determining the heating assistance material data and the food assistance material data for each disaster-stricken area, the heating assistance material data and the food assistance material data can be determined as the disaster relief material data for the disaster-stricken area.

[0072] Optionally, in the case where the number of people in need of assistance in the disaster-stricken area meets the quantity constraint condition and the disaster-stricken area is a preset area, the disaster relief material data for each disaster-stricken area can be determined based on the number of people in need of assistance in the preset area.

[0073] Among them, the preset area can include a first preset area and a second preset area. The first preset area can be an area that is preset to be relatively difficult in solving basic food problems or other aspects. The second preset area can be an area that is preset to be an alpine and cold area or relatively difficult in other aspects. The embodiments of the present invention do not specifically limit the setting basis for the first preset area and the first preset area, and those skilled in the art can set it according to actual needs.

[0074] Optionally, when the number of people in need of assistance in the disaster-stricken area meets the quantity constraint condition and the disaster-stricken area is a preset area, the disaster relief material data for each disaster-stricken area can be determined according to the number of people in need of assistance in the preset area, including: when the disaster-stricken area is the first preset area, determining the first population number of the disaster-stricken area as the number of people receiving diet assistance; when the disaster-stricken area is the second preset area, determining the second population number of the disaster-stricken area as the number of people receiving heating assistance; determining the diet assistance material data for the disaster-stricken area according to the first population number, and determining the heating assistance material data for the disaster-stricken area according to the determined second population number; determining the disaster relief material data for the disaster-stricken area according to the heating assistance material data and the diet assistance material data.

[0075] The technical solution of the embodiment of the present invention, by obtaining the number of people in need of assistance reported by multiple disaster-stricken areas, when the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint condition and the disaster-stricken area is not a preset area, obtaining multiple pieces of disaster situation statistical data reported by the disaster-stricken area, the disaster situation statistical data includes at least one of the affected crop area, the crop failure area, the affected population data, the death population data, the missing population data, the collapsed housing data, the damaged housing data and the regional economic loss data; determining the resource allocation data for the disaster-stricken area according to the regional resource information and the regional population data of the disaster-stricken area, determining the disaster situation index data corresponding to each piece of disaster situation statistical data, determining the comprehensive disaster situation index corresponding to each disaster area according to multiple disaster situation index data, and determining the disaster level of each disaster-stricken area according to the comprehensive disaster situation index; determining the disaster relief material data for each disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data and the resource allocation data, can improve the rescue accuracy and rescue efficiency for the disaster-stricken area.

[0076] Embodiment III

[0077] Figure 3 It is a schematic structural diagram of a device for determining disaster relief materials provided in Embodiment III of the present invention. As Figure 3 shown, the device includes: a data acquisition module 310, a disaster level determination module 320, and a disaster relief material determination module 330.

[0078] A data acquisition module 310 is configured to acquire the number of people in need of assistance reported by multiple disaster-stricken areas. When the number of people in need of assistance in a disaster-stricken area meets a preset quantity constraint condition and the disaster-stricken area is not a preset area, it acquires multiple items of disaster situation statistical data reported by the disaster-stricken area. Among them, the disaster situation statistical data includes at least one of the affected area of crops, the area of crops with no harvest, the data of affected population, the data of deceased population, the data of missing population, the data of collapsed houses, the data of damaged houses, and the data of regional economic losses. A disaster level determination module 320 is configured to determine the resource allocation data of a disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, determine the disaster situation index data corresponding to each item of disaster situation statistical data, and determine the disaster level corresponding to each disaster area according to multiple disaster situation index data. A relief supply determination module 330 is configured to determine the relief supply data of each disaster-stricken area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data.

[0079] Further, the disaster level determination module 320 includes a normalization unit 321 configured to perform normalization processing on each item of disaster situation statistical data respectively to obtain the disaster situation index data corresponding to the disaster situation statistical data.

[0080] Further, the disaster level determination module 320 includes a disaster level determination unit 322 configured to determine the comprehensive disaster situation index corresponding to each disaster-stricken area according to multiple disaster situation index data, and determine the disaster level corresponding to each disaster area according to the comprehensive disaster situation indexes corresponding to multiple disaster-stricken areas.

[0081] Further, the disaster level determination unit 322 is specifically configured to: sort multiple comprehensive disaster situation indexes, and determine the disaster level of each disaster-stricken area according to the sorting result and a preset disaster situation classification ratio; or determine the disaster level of each disaster-stricken area according to the comprehensive disaster situation index of each disaster-stricken area and a preset classification threshold.

[0082] Among them, the resource allocation data includes heating allocation information, the number of people in need of assistance includes the number of people in need of heating assistance, and the relief supply data includes heating assistance supply data. Among them, the resource allocation data includes diet allocation information, the number of people in need of assistance includes the number of people in need of diet assistance, and the relief supply data includes diet assistance supply data. The disaster levels include the first disaster level, the second disaster level, and the third disaster level. The degree of disaster of the first disaster level is higher than that of the second disaster level, and the degree of disaster of the second disaster level is higher than that of the third disaster level.

[0083] Furthermore, the disaster relief material determination module 330 includes a food relief material data determination unit 331, which is configured to determine the reference quantity of the food relief population in each disaster-stricken area according to the food distribution information, the affected area of crops, and the area of crops with no harvest; determine the first population quantity of the disaster-stricken area according to the quantity of the food relief population, the reference quantity of the food relief population, and the disaster level, and determine the food relief material data of the disaster-stricken area according to the first population quantity.

[0084] Furthermore, the food relief material data determination unit 331 includes a first population quantity determination unit 3311, which is configured to determine the first population quantity of the disaster-stricken area according to the quantity of the food relief population when the disaster level of the disaster-stricken area is the first disaster level; determine the first population quantity of the disaster-stricken area according to the quantity of the food relief population and the reference quantity of the food relief population when the disaster level of the disaster-stricken area is the second disaster level; determine the first population quantity of the disaster-stricken area according to the reference quantity of the food relief population when the disaster level of the disaster-stricken area is the third disaster level.

[0085] Furthermore, the disaster relief material determination module 330 includes a heating relief material data determination unit 332, which is configured to determine the reference quantity of the heating relief population in each disaster-stricken area according to the heating distribution information, the data of collapsed houses, and the data of damaged houses; determine the second population quantity of each disaster-stricken area according to the reference quantity of the heating relief population and the quantity of the heating relief population, and determine the heating relief material data of the disaster-stricken area according to the second population quantity.

[0086] Furthermore, the heating relief material data determination unit 332 includes a second population quantity determination unit 3321, which is configured to determine the quantity of the heating relief population as the second population quantity of the disaster-stricken area when the reference quantity of the heating relief population in the disaster-stricken area is greater than or equal to the quantity of the heating relief population; determine the reference quantity of the heating relief population as the second population quantity of the disaster-stricken area when the reference quantity of the heating relief population in the disaster-stricken area is less than the quantity of the heating relief population.

[0087] Furthermore, the device for determining disaster relief materials further includes a second disaster relief material determination module, which is configured to determine the disaster relief material data of each disaster-stricken area according to the quantity of the population in need of relief in the disaster-stricken area when the quantity of the population in need of relief in the disaster-stricken area meets the quantity constraint condition and the disaster-stricken area is a preset area.

[0088] The device for determining disaster relief materials provided by the embodiments of the present invention can execute the method for determining disaster relief materials provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0089] Embodiment 4

[0090] Figure 4The structural schematic diagram of the electronic device 10 that can be used to implement the embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0091] As shown in Figure X, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0092] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0093] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include but are not limited to a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for determining disaster relief supplies.

[0094] In some embodiments, the method for determining disaster relief supplies can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining disaster relief supplies described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the method for determining disaster relief supplies by any other suitable means (e.g., by means of firmware).

[0095] Various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems on a chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0096] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer programs are executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0097] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0098] In order to provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0099] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by any form or medium of digital data communication (e.g., a communication network). Examples of the communication network include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0100] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The relationship between the client and the server is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0101] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0102] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for determining disaster relief materials, characterized in that, Including: Obtaining the number of people in need of assistance reported by multiple disaster-stricken areas. When the number of people in need of assistance in the disaster-stricken area meets the preset quantity constraint condition and the disaster-stricken area is not a preset area, obtaining multiple items of disaster situation statistical data reported by the disaster-stricken area; wherein, the disaster situation statistical data includes at least one of the affected area of crops, the area of crops with no harvest, the data of affected population, the data of deceased population, the data of missing population, the data of collapsed houses, the data of damaged houses, and the data of regional economic losses; Determining the resource allocation data of the disaster-stricken area according to the regional resource information and regional population data of the disaster-stricken area, determining the disaster situation index data corresponding to each item of the disaster situation statistical data, and determining the disaster-affected level corresponding to each disaster area according to multiple items of the disaster situation index data; Determining the disaster relief material data of each disaster-stricken area according to the number of people in need of assistance, the disaster-affected level, the disaster situation statistical data, and the resource allocation data.

2. The method according to claim 1, wherein The determining the disaster situation index data corresponding to each item of the disaster situation statistical data includes: Performing normalization processing on each item of the disaster situation statistical data respectively to obtain the disaster situation index data corresponding to the disaster situation statistical data.

3. The method according to claim 1, wherein The determining the disaster-affected level corresponding to each disaster area according to multiple items of the disaster situation index data includes: Determining the comprehensive disaster situation index corresponding to each disaster-stricken area according to multiple items of the disaster situation index data, and determining the disaster-affected level corresponding to each disaster area according to the comprehensive disaster situation indexes corresponding to multiple disaster-stricken areas.

4. The method according to claim 3, characterized in that, The determining the disaster-affected level corresponding to each disaster area according to the comprehensive disaster situation indexes corresponding to multiple disaster-stricken areas includes: Sorting multiple comprehensive disaster situation indexes, and determining the disaster-affected level of each disaster-stricken area according to the sorting result and the preset disaster situation classification ratio; or, Determining the disaster-affected level of each disaster-stricken area according to the comprehensive disaster situation index of each disaster-stricken area and the preset classification threshold.

5. The method according to claim 1, characterized in that The resource allocation data includes diet allocation information, the number of people in need of assistance includes the number of people in need of diet assistance, and the disaster relief material data includes diet assistance material data; The determining the disaster relief material data of each disaster-stricken area according to the number of people in need of assistance, the disaster-affected level, the disaster situation statistical data, and the resource allocation data includes: Determining the reference number of people in need of diet assistance in each disaster-stricken area according to the diet allocation information, the affected area of crops, and the area of crops with no harvest; Determining the first population number of the disaster-stricken area according to the number of people in need of diet assistance, the reference number of people in need of diet assistance, and the disaster-affected level, and determining the diet assistance material data of the disaster-stricken area according to the first population number.

6. The method according to claim 5, wherein The disaster-affected levels include the first disaster-affected level, the second disaster-affected level, and the third disaster-affected level. The disaster degree of the first disaster-affected level is higher than that of the second disaster-affected level, and the disaster degree of the second disaster-affected level is higher than that of the third disaster-affected level; The determining the first population number of the disaster-stricken area according to the number of people in need of diet assistance, the reference number of people in need of diet assistance, and the disaster-affected level includes: When the disaster level of the affected area is the first disaster level, determine the first population quantity of the affected area according to the number of people receiving food assistance; When the disaster level of the affected area is the second disaster level, determine the first population quantity of the affected area according to the number of people receiving food assistance and the reference quantity of the people receiving food assistance; When the disaster level of the affected area is the third disaster level, determine the first population quantity of the affected area according to the reference quantity of the people receiving food assistance.

7. The method according to claim 1, characterized in that The resource allocation data includes heating allocation information, the number of people in need of assistance includes the number of people receiving heating assistance, and the disaster relief material data includes the heating assistance material data; Determining the disaster relief material data of each affected area according to the number of people in need of assistance, the disaster level, the disaster situation statistical data, and the resource allocation data includes: Determine the reference quantity of the people receiving heating assistance in each affected area according to the heating allocation information, the data of collapsed houses, and the data of damaged houses; Determine the second population quantity of each affected area according to the reference quantity of the people receiving heating assistance and the number of people receiving heating assistance, and determine the heating assistance material data of the affected area according to the second population quantity.

8. The method according to claim 7, wherein Determining the second population quantity of each affected area according to the reference quantity of the people receiving heating assistance and the number of people receiving heating assistance includes: When the reference quantity of the people receiving heating assistance in the affected area is greater than or equal to the number of people receiving heating assistance, determine the number of people receiving heating assistance as the second population quantity of the affected area; When the reference quantity of the people receiving heating assistance in the affected area is less than the number of people receiving heating assistance, determine the reference quantity of the people receiving heating assistance as the second population quantity of the affected area.

9. The method according to claim 1, wherein It further includes: When the number of people in need of assistance in the affected area meets the quantity constraint condition and the affected area is a preset area, determine the disaster relief material data of each affected area according to the number of people in need of assistance in the preset area.

10. A computer program product, comprising a computer program / instructions, wherein, The computer program / instructions, when executed by a processor, implement the method for determining the disaster relief materials according to any one of claims 1-9.

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