CN112396289A - Equipment system logistics support capability assessment method, device, equipment and medium - Google Patents

Equipment system logistics support capability assessment method, device, equipment and medium Download PDF

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CN112396289A
CN112396289A CN202011087125.4A CN202011087125A CN112396289A CN 112396289 A CN112396289 A CN 112396289A CN 202011087125 A CN202011087125 A CN 202011087125A CN 112396289 A CN112396289 A CN 112396289A
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刘强
冯源
陈龙
李俊杰
薛姬荣
张纬静
张鹏飞
陈亚龙
孙勇
曹俊卿
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Ordnance Science and Research Academy of China
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Abstract

The invention discloses a method, a device, equipment and a medium for evaluating logistics support capability of an equipment system, wherein the method comprises the following steps: aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in an equipment system and the energy supply of the logistics support category; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category. The problem that the evaluation result is greatly influenced by the subjective of the logistics staff and the accuracy of the obtained capability evaluation result is poor if the experience of the logistics staff is not rich enough is solved, so that the accuracy of the logistics support capability evaluation is improved.

Description

Equipment system logistics support capability assessment method, device, equipment and medium
Technical Field
The invention relates to the technical field of equipment system evaluation, in particular to a method, a device, equipment and a medium for evaluating logistics support capability of an equipment system.
Background
The equipment system logistics support comprises oil material support, ammunition support, medical service support and the like, currently, for each support type, logistics personnel estimate energy consumption required by battle through experience, and the support capability of various types of logistics support is estimated according to performance parameters of oil material transportation equipment, ammunition transportation equipment and medical service support equipment in the logistics support system.
In the prior art, the equipment system logistics support capability assessment is completed by depending on the experience of logistics personnel, the assessment result is greatly influenced by the subjective of the logistics personnel, and the reference value of the obtained capability assessment result is low if the experience of the logistics personnel is not rich enough. Therefore, a solution capable of accurately performing logistics support capability assessment is needed.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for evaluating logistics support capability of an equipment system, which are used for solving the problem.
The embodiment of the invention provides an equipment system logistics support capability assessment method, which comprises the following steps:
aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in an equipment system and the energy supply of the logistics support category;
determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category;
and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
Further, if the logistics support category is oil support, the determined equipment system is provided with the energy consumption amount required by the logistics support category combat, and the energy supply amount of the logistics support category comprises:
determining the oil consumption required by the battle according to the quantity of the weapons, the volume of an oil tank of the weapons, the fuel base number of the weapons and the collected residual oil amount;
determining the oil supply amount according to the number of the oil transportation equipment, the volume of an oil tank of the oil transportation equipment, the number of the oil bags and the volume of the oil tank of the oil bags;
according to the required energy consumption of back office support classification combat with the energy supply volume of back office support classification confirms the back office support ability evaluation parameter of back office support classification includes:
and determining an oil supply capacity evaluation parameter according to the ratio of the oil supply amount to the oil consumption amount.
Further, if the logistics support category is oil support, the method further comprises:
determining the oil receiving time of each weapon equipment according to the oil receiving starting time and the oil receiving ending time of each weapon equipment;
determining an average value of the oil receiving time lengths of all weaponry, and determining oil filling evaluation parameters according to the ratio of the average value to a preset oil receiving time length;
and determining the oil filling guarantee capacity according to the comparison result of the oil filling evaluation parameter and the preset oil filling evaluation parameter threshold range.
Further, if the logistics support category is ammunition support, the determined equipment system is provided with the energy consumption required by the logistics support category combat, and the energy supply of the logistics support category comprises:
determining the consumption of each type of ammunition at each sampling point and determining the total consumption of the type of ammunition at all the sampling points; determining the provided amount of the ammunition according to the number of the ammunition transportation equipment and the number of the ammunition carried by the ammunition transportation equipment;
according to the required energy consumption of back office support classification combat with the energy supply volume of back office support classification confirms the back office support ability evaluation parameter of back office support classification includes:
and determining the ammunition guarantee capability evaluation parameter according to the ratio of the provided amount of the ammunition to the total consumption amount of the ammunition for each type of ammunition.
Further, if the logistics support category is service support, the method further comprises:
determining the total number of the light wounded personnel at all sampling points according to the newly increased number of the light wounded personnel and the number of the light wounded personnel cured and discharged from a hospital at each sampling point, and determining the evaluation parameter of the treatment capacity of the light wounded personnel according to the preset ratio of the treatment number of the light wounded personnel to the total number of the light wounded personnel;
and determining the treatment capability of the light wounded personnel according to the comparison result of the light wounded personnel treatment capability assessment parameter and the preset threshold range of the light wounded personnel treatment capability assessment parameter.
Further, if the logistics support category is service support, the method further comprises:
determining the total number of the serious injury personnel at all sampling points according to the number of newly increased serious injury personnel and the number of serious injury personnel cured and discharged at each sampling point, and determining the evaluation parameter of the treatment capability of the serious injury personnel according to the preset ratio of the treatment number of the serious injury personnel to the total number of the serious injury personnel;
and determining the treatment capability of the heavy injured personnel according to the comparison result of the evaluation parameter of the treatment capability of the heavy injured personnel and the preset threshold range of the evaluation parameter of the treatment capability of the heavy injured personnel.
On the other hand, an embodiment of the present invention provides an equipment system logistics support capability evaluation device, where the device includes:
the system comprises a first determining module, a second determining module and a control module, wherein the first determining module is used for determining the energy consumption amount required by the combat of each preset logistics support category in an equipment system and the energy supply amount of the logistics support category;
the second determination module is used for determining the logistics support capability evaluation parameters of the logistics support categories according to the energy consumption amount required by the combat of the logistics support categories and the energy supply amount of the logistics support categories;
and the third determination module is used for determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and the preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
Further, if the logistics support category is oil support, the first determining module is specifically configured to determine the oil consumption amount required by the battle according to the number of weapons, the volume of an oil tank of the weapons, the fuel base number of the weapons, and the collected remaining oil amount; determining the oil supply amount according to the number of the oil transportation equipment, the volume of an oil tank of the oil transportation equipment, the number of the oil bags and the volume of the oil tank of the oil bags;
the second determining module is specifically configured to determine an oil supply capacity evaluation parameter according to a ratio of the oil supply amount to the oil consumption amount.
Further, if the logistics support category is oil support, the third determining module is further configured to determine an oil receiving duration of each weaponry according to the oil receiving starting time and the oil receiving ending time of each weaponry; determining an average value of the oil receiving time lengths of all weaponry, and determining oil filling evaluation parameters according to the ratio of the average value to a preset oil receiving time length; and determining the oil filling guarantee capacity according to the comparison result of the oil filling evaluation parameter and the preset oil filling evaluation parameter threshold range.
Further, if the logistics support category is ammunition support, a first determining module is specifically used for determining the consumption of the ammunition at each sampling point and determining the total consumption of the ammunition at all the sampling points for each ammunition; determining the provided amount of the ammunition according to the number of the ammunition transportation equipment and the number of the ammunition carried by the ammunition transportation equipment;
the second determination module is specifically used for determining the ammunition guarantee capability evaluation parameter according to the ratio of the provided amount of the ammunition to the total consumption amount of the ammunition for each type of ammunition.
Further, if the logistics support category is service support, the third determining module is further configured to determine the total number of the light injured persons at all sampling points according to the newly increased number of the light injured persons at each sampling point and the number of the light injured persons discharged from the hospital for healing, and determine a light injured person treatment capacity evaluation parameter according to a preset ratio of the number of the light injured persons to the total number of the light injured persons; and determining the treatment capability of the light wounded personnel according to the comparison result of the light wounded personnel treatment capability assessment parameter and the preset threshold range of the light wounded personnel treatment capability assessment parameter.
Further, if the logistics support category is service support, the third determining module is further configured to determine the total number of the heavy injured persons at all sampling points according to the number of newly added heavy injured persons at each sampling point and the number of the heavy injured persons cured and discharged from the hospital, and determine a treatment capacity evaluation parameter of the heavy injured persons according to a preset ratio of the treatment number of the heavy injured persons to the total number of the heavy injured persons; and determining the treatment capability of the heavy injured personnel according to the comparison result of the evaluation parameter of the treatment capability of the heavy injured personnel and the preset threshold range of the evaluation parameter of the treatment capability of the heavy injured personnel.
On the other hand, the embodiment of the invention provides electronic equipment, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
a processor for implementing any of the above method steps when executing a program stored in the memory.
In another aspect, an embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the method steps of any one of the above.
The embodiment of the invention provides a method, a device, equipment and a medium for evaluating logistics support capability of an equipment system, wherein the method comprises the following steps: aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in an equipment system and the energy supply of the logistics support category; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
The technical scheme has the following advantages or beneficial effects:
aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in an equipment system and the energy supply of the logistics support category; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and then comparing the logistics support capability evaluation parameter of the logistics support category with a preset logistics support capability parameter threshold range of the logistics support category to determine the logistics support capability of the logistics support category. Compared with a scheme of evaluating the logistics support capability by relying on the experience of the logistics personnel, the method avoids the problem that the evaluation result is greatly influenced by the subjective effect of the logistics personnel, and if the experience of the logistics personnel is not rich enough, the accuracy of the obtained capability evaluation result is poor, so that the accuracy of the logistics support capability evaluation is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a logistics support capability evaluation process provided in embodiment 1 of the present invention;
fig. 2 is a schematic structural diagram of a logistics support capability evaluation apparatus according to embodiment 7 of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to embodiment 8 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the attached drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
fig. 1 is a schematic diagram of an equipment system logistics support capability evaluation process provided in an embodiment of the present invention, where the process includes the following steps:
s101: and aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in the equipment system, and the energy supply of the logistics support category.
S102: and determining the logistics support capability evaluation parameters of the logistics support categories according to the energy consumption amount required by the operations of the logistics support categories and the energy supply amount of the logistics support categories.
S103: and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
The logistics support ability evaluation method provided by the embodiment of the invention is applied to electronic equipment, and the electronic equipment can be a PC, a tablet personal computer and the like, and can also be a server.
In each simulation experiment, the electronic equipment determines the energy consumption amount required by the combat of the logistics support category in the equipment system and the energy supply amount of the logistics support category aiming at each preset logistics support category. Wherein, each preset logistics support category comprises oil support, ammunition support and the like. Taking oil guarantee as an example, the electronic device may determine the oil consumption amount according to the number of weapons in the simulation experiment, the oil consumption amount of each weapons, and the like. The electronic equipment can determine the oil supply amount according to the number of the oil transportation equipment in the logistics support system, the volume of an oil tank of each oil transportation equipment and the like. Taking ammunition guarantee as an example, the electronic device can determine the consumption amount of each type of ammunition, and determine the supply amount of each type of ammunition according to the quantity of the ammunition carrying by the ammunition transportation equipment.
Electronic equipment determines to equip in the system the required energy consumption of logistics support classification combat, and after the energy supply volume of logistics support classification, can with the energy supply volume of logistics support classification with the ratio of the required energy consumption of logistics support classification combat is confirmed and is done the logistics support ability evaluation parameter of logistics support classification.
The electronic equipment saves preset logistics support capability parameter threshold ranges of the logistics support categories, and each parameter threshold range corresponds to the logistics support capability. And determining the logistics support capacity parameter threshold range to which the logistics support capacity evaluation parameter of the logistics support category belongs, and then determining the logistics support capacity corresponding to the parameter threshold range as the logistics support capacity of the logistics support category.
In the embodiment of the invention, aiming at each preset logistics support category, the energy consumption amount required by the combat of the logistics support category in the equipment system and the energy supply amount of the logistics support category are determined; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and then comparing the logistics support capability evaluation parameter of the logistics support category with a preset logistics support capability parameter threshold range of the logistics support category to determine the logistics support capability of the logistics support category. Compared with a scheme of evaluating the logistics support capability by relying on the experience of the logistics personnel, the method avoids the problem that the evaluation result is greatly influenced by the subjective effect of the logistics personnel, and if the experience of the logistics personnel is not rich enough, the accuracy of the obtained capability evaluation result is poor, so that the accuracy of the logistics support capability evaluation is improved.
Example 2:
in order to make the evaluation of the oil support capability more accurate, on the basis of the above embodiment, in the embodiment of the present invention, if the logistics support category is oil support, the determining the energy consumption amount required for the combat of the logistics support category in the equipment system, and the energy supply amount of the logistics support category includes:
determining the oil consumption required by the battle according to the quantity of the weapons, the volume of an oil tank of the weapons, the fuel base number of the weapons and the collected residual oil amount;
determining the oil supply amount according to the number of the oil transportation equipment, the volume of an oil tank of the oil transportation equipment, the number of the oil bags and the volume of the oil tank of the oil bags;
according to the required energy consumption of back office support classification combat with the energy supply volume of back office support classification confirms the back office support ability evaluation parameter of back office support classification includes:
and determining an oil supply capacity evaluation parameter according to the ratio of the oil supply amount to the oil consumption amount.
In the embodiment of the invention, for each weapon equipment, the product of the fuel tank volume and the fuel base number of the weapon equipment is determined, then the difference value of the product and the collected residual fuel amount is determined as the fuel consumption of the weapon equipment, and then the fuel consumption of each weapon equipment is summed to obtain the fuel consumption required for the operation. When determining the oil supply amount, the product of the number of the oil transporting equipment and the tank volume of the oil transporting equipment and the product of the number of the oil bags and the tank volume of the oil bags can be determined, and the two products are summed to obtain the oil supply amount.
Preferably, the number of the weapon equipment is N, and the oil tank volume of the ith equipment is WiThe fuel base number of the ith vehicle equipment before the lift-out is EiThe simulation experiment times are M times, the sampling time interval is t, and the total sampling point number is A. Collecting the residual oil quantity K of the ith sampling point in the mth simulation process of the ith weapon equipmentaimThen the ith equipment sample point average remaining oil:
Figure RE-GDA0002848580060000081
oil consumption at the ith sampling point for the ith weapon:
Figure RE-GDA0002848580060000082
it should be noted that, in order to ensure that the remaining oil amount exists during each sampling and avoid inaccurate determination of the oil consumption due to the fact that the remaining oil amount is 0, in the embodiment of the present invention, after each sampling is finished, the oil amount of the weapons equipment is restored to the initial oil amount, and the initial oil amount is the full oil amount. Total oil consumption H of all weaponry at the a sampling pointa
Figure RE-GDA0002848580060000091
Then determining the total oil consumption at all sampling points as
Figure RE-GDA0002848580060000092
Namely, the oil consumption required for the battle is determined as
Figure RE-GDA0002848580060000093
The types of oil transportation equipment are set to be G types, and the volume of an oil tank of the ith oil transportation equipment is set to be QiL, the quantity of the ith oil transportation equipment is Li(ii) a The types of the oil bags are P types, and the oil tank volume of the ith oil bag is RiL, the number of the i-th oil sac is SiAnd then, the oil supply amount D of the present combat is:
Figure RE-GDA0002848580060000094
according to the oil supply D of the battle and the oil consumption needed by the battle
Figure RE-GDA0002848580060000095
Determining an oil supply capacity evaluation parameter Ca
Figure RE-GDA0002848580060000096
Determining the oil supply guarantee capacity according to the comparison result of the oil supply capacity evaluation parameter and the preset oil supply capacity evaluation parameter threshold range, wherein the determination result may be, for example:
when C is presentaWhen the number is less than 1, the oil supply can not meet the combat requirement, and the oil supply capacity is unqualified;
when 1 is less than or equal to CaWhen the oil supply capacity is less than or equal to 1.5, the oil supply capacity can meet the combat requirement, and the oil supply capacity is qualified;
when C is presentaWhen the oil supply capacity is more than 1.5, although the oil supply can meet the combat demand, the carried oil far exceeds the actual oil demand, so that the logistics support resource waste is caused, and the oil supply capacity is unqualified.
Example 3:
on the basis of the above embodiments, in the embodiment of the present invention, if the logistics support category is an oil support, the method further includes:
determining the oil receiving time of each weapon equipment according to the oil receiving starting time and the oil receiving ending time of each weapon equipment;
determining an average value of the oil receiving time lengths of all weaponry, and determining oil filling evaluation parameters according to the ratio of the average value to a preset oil receiving time length;
and determining the oil filling guarantee capacity according to the comparison result of the oil filling evaluation parameter and the preset oil filling evaluation parameter threshold range.
In the embodiment of the invention, the simulation experiment times are set to be M times, and the oil receiving starting time T of all weaponry is collectedsmEnd of oil receiving time TpmThen the average oil receiving time length T required by all weapon equipment:
Figure RE-GDA0002848580060000101
in each simulation experiment, it may be set that the weapon equipment starts to receive oil when the remaining oil amount is 20% or 30%, and the oil reception start time T is recordedsmRecording the time T for ending oil receiving when the oil is filledpm
The electronic equipment is stored with a preset oil receiving time Z, for example, the preset oil receiving time Z is 2 hours, and Z indicates that the oil filling time of all weaponry should not exceed Z hours. Determining oil fill evaluation parameters
Figure RE-GDA0002848580060000102
Determining oil filling guarantee capacity according to the comparison result of the oil filling evaluation parameter and a preset oil filling evaluation parameter threshold range, wherein the oil filling guarantee capacity can be determined by:
when U is less than 1, the oil filling time can meet the combat requirement, and the oil filling capacity is qualified;
when the U is more than or equal to 1, the oil filling time is too long, the combat requirement cannot be met, and the oil filling capacity is unqualified.
Example 4:
in order to make the assessment of ammunition guarantee capability more accurate, on the basis of the above embodiment, in the embodiment of the present invention, if the logistics support category is ammunition guarantee, the determining the energy consumption amount required for the operation of the logistics support category in the equipment system, and the energy supply amount of the logistics support category includes:
determining the consumption of each type of ammunition at each sampling point and determining the total consumption of the type of ammunition at all the sampling points; determining the provided amount of the ammunition according to the number of the ammunition transportation equipment and the number of the ammunition carried by the ammunition transportation equipment;
according to the required energy consumption of back office support classification combat with the energy supply volume of back office support classification confirms the back office support ability evaluation parameter of back office support classification includes:
and determining the ammunition guarantee capability evaluation parameter according to the ratio of the provided amount of the ammunition to the total consumption amount of the ammunition for each type of ammunition.
In an embodiment of the invention, for each type of ammunition, the sum of the consumption of the type of ammunition at each sampling point can be determined as the total consumption of the type of ammunition at all sampling points. The amount of such ammunition may be determined by multiplying the number of ammunition transport equipment and the number of ammunition transport equipment carrying such ammunition.
Preferably, in the embodiment of the present invention, the number of weapons may be N, the number of simulation experiments is M, the sampling time interval is t, and the total number of sampling points is a. The ith weapon equipment and the jth ammunition are carried by the quantity OijThe base number of the jth ammunition is YijAnd (4) sending. Collecting the consumed ammunition quantity V of the sampling point of the jth equipped jth ammunition a in the mth simulation processamijI.e. the ammunition consumption V occurring between sampling points a and a-1amij(ii) a Sampling point total average consumption number of jth ammunition a:
Figure RE-GDA0002848580060000111
total average consumed number of jth ammunition at all sampling points:
Figure RE-GDA0002848580060000112
i.e. the total consumption of the jth ammunition at all sampling points isVdj
Jth ammunition supply quantity Fdj
Figure RE-GDA0002848580060000113
According to the j-th ammunition supply quantity F of the operationdjTotal consumption V of the jth ammunitiondjDetermining the jth ammunition guarantee capability evaluation parameter Cdj
Figure RE-GDA0002848580060000121
Determining the ammunition guarantee capability according to the comparison result of the ammunition guarantee capability evaluation parameter and the preset ammunition guarantee capability evaluation parameter threshold range, wherein the ammunition guarantee capability can be determined according to the following steps:
when C is presentdjWhen the number is less than 1, the jth ammunition guarantee cannot meet the combat requirement, and the guarantee capability is unqualified;
when 1 is less than or equal to CdjWhen the number is less than or equal to 1.5, the jth ammunition guarantee can meet the combat requirement, and the guarantee capability is qualified;
when C is presentdjWhen > 1.5, though the jth ammunition guarantee can satisfy the combat demand, the ammunition carried by the jth ammunition guarantee far exceeds the actual demand of the ammunition, the logistics guarantee resource waste can be caused, and therefore the ammunition guarantee capacity is unqualified.
Example 5:
in order to make the service support capability evaluation more accurate, in an embodiment of the present invention, on the basis of the above embodiment, if the logistics support category is service support, the method further includes:
determining the total number of the light wounded personnel at all sampling points according to the newly increased number of the light wounded personnel and the number of the light wounded personnel cured and discharged from a hospital at each sampling point, and determining the evaluation parameter of the treatment capacity of the light wounded personnel according to the preset ratio of the treatment number of the light wounded personnel to the total number of the light wounded personnel;
and determining the treatment capability of the light wounded personnel according to the comparison result of the light wounded personnel treatment capability assessment parameter and the preset threshold range of the light wounded personnel treatment capability assessment parameter.
In the embodiment of the invention, the number of the light wounded persons at each sampling point can be determined according to the newly increased number of the light wounded persons and the number of the light wounded persons cured and discharged from a hospital, and then the sum of the number of the light wounded persons at each sampling point is determined as the total number of the light wounded persons at all sampling points. The preset number of the light injury personnel to be treated is stored in the electronic equipment, and the ratio of the preset number of the light injury personnel to the total number of the light injury personnel at all sampling points is determined as an evaluation parameter of the treatment capability of the light injury personnel.
Preferably, in the embodiment of the present invention, the number of simulation experiments may be set to be M, the sampling time interval is t, and the total number of sampling points is a. The number of the preset light wounded personnel for treatment is I at the same timeGeneral assemblyA human.
Collecting the newly increased number I of the light injured persons at the a-th sampling point in the mth simulation processzamNumber of cured discharge personnel Ikam(ii) a Wherein, the slightly injured person refers to the injured person who does not need to be operated after diagnosis, and the cured discharge refers to the cure or the transfer to a later hospital. The average number of newly-increased light wounded persons at the a th sampling point:
Figure RE-GDA0002848580060000131
the average number of cured victims of discharge from the sampling point a:
Figure RE-GDA0002848580060000132
at each sampling point time of ith, the total number of the light wounded persons:
Figure RE-GDA0002848580060000133
determining a light injury personnel treatment capability evaluation parameter C according to the preset ratio of the treatment number of light injury personnel to the total number of the light injury personnelqi
Figure RE-GDA0002848580060000134
And determining the treatment capability of the light wounded personnel according to the comparison result of the light wounded personnel treatment capability assessment parameter and the preset threshold range of the light wounded personnel treatment capability assessment parameter. For example, it may be:
when minCqiWhen the treatment capacity of the light wounded person is less than 1, the treatment capacity of the light wounded person cannot meet the medical service support requirement, and the treatment capacity of the light wounded person is unqualified;
when 1.5 > minCqiWhen the treatment capacity of the light wounded person is more than or equal to 1, the treatment capacity of the light wounded person can meet the medical service support requirement, and the treatment capacity of the light wounded person is qualified;
when minCqiWhen the treatment capacity of the light wounded person is more than or equal to 1.5, although the treatment capacity of the light wounded person can meet the medical service support requirement, the medical materials carried by the light wounded person far exceed the actual demand, and medical service support resource waste can be caused, so that the treatment capacity of the light wounded person is unqualified.
Example 6:
in order to make the service support capability evaluation more accurate, in an embodiment of the present invention, on the basis of the above embodiment, if the logistics support category is service support, the method further includes:
determining the total number of the serious injury personnel at all sampling points according to the number of newly increased serious injury personnel and the number of serious injury personnel cured and discharged at each sampling point, and determining the evaluation parameter of the treatment capability of the serious injury personnel according to the preset ratio of the treatment number of the serious injury personnel to the total number of the serious injury personnel;
and determining the treatment capability of the heavy injured personnel according to the comparison result of the evaluation parameter of the treatment capability of the heavy injured personnel and the preset threshold range of the evaluation parameter of the treatment capability of the heavy injured personnel.
In the embodiment of the invention, the number of the heavy injured persons at each sampling point can be determined according to the number of the newly increased heavy injured persons at each sampling point and the number of the heavy injured persons cured from discharge, and then the sum of the number of the heavy injured persons at each sampling point is determined as the total number of the heavy injured persons at all sampling points. The preset treatment number of the serious injury personnel is stored in the electronic equipment, and the ratio of the preset treatment number of the serious injury personnel to the total number of the serious injury personnel at all sampling points is determined as an evaluation parameter of the treatment capability of the serious injury personnel.
Preferably, in the embodiment of the present invention, the simulation experiment frequency is set to be M times, the sampling time interval is set to be t, and the total sampling time is set to be tThe number of samples is A. The number of the preset heavy wounded personnel for treatment is J at the same timeGeneral assemblyA human.
Collecting the newly increased number J of heavy injured persons at the sampling point a in the mth simulation processzamIzamNumber of persons who are seriously injured during discharge Jzam(ii) a Wherein, the seriously injured person refers to the injured person who needs to be subjected to operation after diagnosis, and the recovery discharge refers to the recovery or the transfer to a later hospital. The average number of newly-added heavy wounded persons at the a th sampling point is as follows:
Figure RE-GDA0002848580060000141
the average number of discharged serious wounded persons was cured at the sampling point a:
Figure RE-GDA0002848580060000142
at each sampling point, the total number of heavy wounded persons:
Figure RE-GDA0002848580060000143
determining a serious injury personnel treatment capability evaluation parameter C according to the preset ratio of the treatment number of the serious injury personnel to the total number of the serious injury personnelpi
Figure RE-GDA0002848580060000144
And determining the treatment capability of the heavy injured personnel according to the comparison result of the evaluation parameter of the treatment capability of the heavy injured personnel and the preset threshold range of the evaluation parameter of the treatment capability of the heavy injured personnel. For example, it may be:
when minCpiWhen the time is less than 1, the treatment capacity of the serious injury patient can not meet the medical service support requirement, and the treatment capacity of the serious injury patient is unqualified;
when 1.5 > minCpiWhen the disease resistance is more than or equal to 1, the treatment capacity of the serious injury patient can meet the medical service support requirement, and the treatment capacity of the serious injury patient is qualified;
when minCpiWhen the weight is more than or equal to 1.5, although the treatment capacity of the heavy wounded can meet the medical service support requirement, the medical materials carried by the heavy wounded far exceed the actual demand, and the medical service support resource waste can be caused, so the treatment capacity of the heavy wounded can meet the medical service support requirement, and the heavy wounded can be treatedThe capacity is "fail".
The logistics support ability assessment method provided by the embodiment of the invention is described in detail by a specific example as follows:
1. initial setting: the number of weaponry is 12. The oil filling time of all weaponry should not exceed 2 hours.
Data acquisition can be obtained through simulation experiments, the number of times of the simulation experiments is set to be 3, the sampling time interval is 8 hours, and the total sampling points are 9.
2. Evaluating the oil material guarantee capacity:
the number of weapons, fuel tank volume, and fuel base are shown in Table 1.
TABLE 1 statistical table of equipment information
Type of equipment Number of equipment Volume of oil tank Fuel base number Remarks for note
Equipment type 1 4 300 1
Equipment type 2 2 250 1
Equipment type 3 2 250 1
Equipment type 4 1 250 1
Equipment type 5 1 300 1
Equipment type 6 2 250 1
(1) Oil supply calculation
The types of the oil transportation equipment are 2, the volume of the oil tank of the 1 st oil transportation equipment is 3000 liters, the number of the oil tanks is 2, and the volume of the oil tank of the 2 nd oil transportation equipment is 2500 liters, and the number of the oil tanks is 2; the types of the oil bags are 2, the oil tank volume of the oil bag 1 is 150 liters, the number of the oil bags is 20,the 2 nd oil sac has a volume of 60 liters and a number of 20. Oil supply amount D in the present battle:
Figure RE-GDA0002848580060000161
(2) data acquisition
The data of the residual oil quantity acquisition of each device in the simulation process are shown in tables 2-1 and 2-2:
TABLE 2-1 remaining oil data for each equipment
Figure RE-GDA0002848580060000162
Figure RE-GDA0002848580060000171
Table 2-2 remaining oil data for each equipment
Figure RE-GDA0002848580060000172
Figure RE-GDA0002848580060000181
TABLE 3 average remaining oil for each unit
Figure RE-GDA0002848580060000182
Figure RE-GDA0002848580060000191
The starting time and the ending time of oil receiving of all weapon equipment in the simulation experiment process are shown in the table 4:
table 4 oil receiving time collecting meter for all equipment
Type of equipment 1 time simulation 2-time simulation 3 times simulation Remarks for note
Starting time 4 7 9
End time 5.8 8.5 10.7
Calculate average oil time for all equipment:
Figure RE-GDA0002848580060000192
(3) oil consumption calculation
Calculating the oil consumption of different weaponry at each sampling point and the total oil consumption, wherein the calculation result is shown in table 5:
TABLE 5 oil consumption and Total oil consumption of different weapons at sampling points
Figure RE-GDA0002848580060000201
(4) Assessment of oil support capability
1) Evaluation of oil supply capability
Calculating a total oil supply capacity evaluation factor CaAnd the calculation result is as follows:
Figure RE-GDA0002848580060000211
at this time, 1 is less than or equal to CaLess than or equal to 1.5, which indicates that the oil guarantee can meet the battle demand and the oil supply capacity is qualified.
2) Evaluation of oil filling capability
Calculating an oil filling capacity evaluation factor U:
Figure RE-GDA0002848580060000212
at the moment, U is less than 1, which indicates that the oil filling time can meet the combat requirement, and the oil filling capacity is qualified;
3. ammunition guarantee capability assessment
The number of arms, the kind of ammunition required and the ammunition base number are shown in table 6:
TABLE 6 weapon equipment ammunition information table
Figure RE-GDA0002848580060000213
Figure RE-GDA0002848580060000221
(1) Ammunition supply quantity calculation
The weapon ammunition base required by each weapon equipment is shown in table 7:
TABLE 7 weapons equipment ammunition base
Figure RE-GDA0002848580060000222
The ammunition supply for each type was calculated as shown in table 8:
TABLE 8 weapons equipment ammunition totals
Figure RE-GDA0002848580060000223
Figure RE-GDA0002848580060000231
(2) Data acquisition
The total ammunition consumption of each weapon equipment in the simulation experiment process is shown in table 9:
TABLE 9 Total ammunition consumption data acquisition table for each weapon equipment in battle
Figure RE-GDA0002848580060000232
Figure RE-GDA0002848580060000241
The average and total ammunition consumption for all types of ammunition battles was calculated as shown in table 10:
TABLE 10 data acquisition table for average ammunition consumption and total ammunition consumption in combat
Figure RE-GDA0002848580060000242
(3) Ammunition guarantee capability assessment
Calculating various ammunition guarantee capability evaluation factors, wherein the calculation result is shown in a table 11:
TABLE 11 ammunition securing ability evaluation factor
Figure RE-GDA0002848580060000243
As can be seen from Table 11: the guarantee capability of XXX ammunition is qualified; the ammunition amount of YYY ammunition, ZZZ ammunition and HHH ammunition can not meet the combat requirement, and the guarantee capability is unqualified; although the bullet can satisfy the demand of fighting, the ammunition that it carried far exceeds actual demand volume, can cause logistics support wasting of resources, therefore bullet ammunition guarantee ability is "unqualified".
3. Service support capability assessment
(1) Capability of treating and curing the injured person in the sanitary place
At the same time, the total curing capacity of the light wounded persons is 80 persons, and the total curing capacity of the heavy wounded persons is 25 persons.
(2) Data acquisition
The number of newly added light wounded persons, the number of newly added heavy wounded persons, the number of cured light wounded persons and the number of cured heavy wounded persons at each sampling point in the simulation experiment process are shown in table 12:
TABLE 12 statistics table for the number of newly-added and cured serious and serious wounded persons during combat
Figure RE-GDA0002848580060000251
The average number of newly-added and cured victims in the combat process is calculated and shown in table 13:
TABLE 13 statistics table for the number of newly-increased and cured serious wounded persons during combat
Figure RE-GDA0002848580060000261
The total number of light and heavy wounded persons at the ith sampling point in the process of calculating the battle is shown in a table 14:
TABLE 14 statistics of the total number of the light and heavy wounded at each moment
Figure RE-GDA0002848580060000262
Figure RE-GDA0002848580060000271
(3) Service support capability assessment
Calculating the rescue ability assessment factor of the mild and severe wounded as shown in table 15:
TABLE 15 statistics table of the evaluation factors for the cure ability of the light and heavy wounded at each time
Figure RE-GDA0002848580060000272
As can be seen from Table 15, Cq6/Cq7/Cq8If the number is less than 1, the treatment capability of the light wounded person cannot meet the medical service support requirement, and the treatment capability of the light wounded person is unqualified; and Cp6If the number is less than 1, the treatment capability of the serious injury patient cannot meet the medical service support requirement, and the treatment capability of the serious injury patient is unqualified.
According to the method, the oil supply capacity and the oil filling capacity can meet the combat requirement, so that the oil guarantee capacity is qualified; the guarantee capability of XXX ammunition is qualified; the ammunition amount of the gun ammunition, the YYY ammunition, the ZZZ ammunition and the HHH ammunition can not meet the combat requirement, and the guarantee capability is unqualified; the method proposes to reduce the number of transported bullets and increase the number of transported ammunitions of YYY bullets, ZZZ bullets and HHH bullets; the treatment capacity of light and heavy wounded persons can not meet the medical service support requirement, the treatment of the wounded persons is recommended to be added, and simulation and evaluation are carried out again by adopting the same method to obtain the optimal ammunition support scheme and medical service support scheme.
Example 7:
fig. 2 is a schematic structural diagram of an equipment system logistics support capability evaluation device provided in an embodiment of the present invention, where the device includes:
a first determining module 21, configured to determine, for each preset logistics support category, an energy consumption amount required for the combat of the logistics support category in an equipment system, and an energy supply amount of the logistics support category;
a second determining module 22, configured to determine a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required for the combat of the logistics support category and the energy supply amount of the logistics support category;
and a third determining module 23, configured to determine the logistics support capability of the logistics support category according to the logistics support capability evaluation parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
If the logistics support category is oil support, the first determining module 21 is specifically configured to determine the oil consumption amount required by the battle according to the number of the weapons, the volume of an oil tank of the weapons, the fuel base number of the weapons, and the collected remaining oil amount; determining the oil supply amount according to the number of the oil transportation equipment, the volume of an oil tank of the oil transportation equipment, the number of the oil bags and the volume of the oil tank of the oil bags;
the second determining module 22 is specifically configured to determine an oil supply capacity evaluation parameter according to a ratio of the oil supply amount to the oil consumption amount.
If the logistics support category is oil support, the third determining module 23 is further configured to determine an oil receiving duration of each weaponry according to the oil receiving starting time and the oil receiving ending time of each weaponry; determining an average value of the oil receiving time lengths of all weaponry, and determining oil filling evaluation parameters according to the ratio of the average value to a preset oil receiving time length; and determining the oil filling guarantee capacity according to the comparison result of the oil filling evaluation parameter and the preset oil filling evaluation parameter threshold range.
If the logistics support category is ammunition support, a first determining module 21 is specifically used for determining the consumption of the ammunition at each sampling point and determining the total consumption of the ammunition at all the sampling points aiming at each ammunition; determining the provided amount of the ammunition according to the number of the ammunition transportation equipment and the number of the ammunition carried by the ammunition transportation equipment;
the second determination module 22 is specifically configured to determine, for each type of ammunition, an ammunition guarantee capability evaluation parameter of the type according to a ratio of a provided amount of the type of ammunition to a total consumption amount of the type of ammunition.
If the logistics support category is service support, the third determining module 23 is further configured to determine the total number of the light injured persons at all sampling points according to the number of newly-increased light injured persons at each sampling point and the number of light injured persons discharged from the hospital for healing, and determine a light injured person treatment capability evaluation parameter according to a preset ratio of the number of light injured persons to the total number of the light injured persons; and determining the treatment capability of the light wounded personnel according to the comparison result of the light wounded personnel treatment capability assessment parameter and the preset threshold range of the light wounded personnel treatment capability assessment parameter.
If the logistics support category is service support, the third determining module 23 is further configured to determine the total number of the heavy wounded persons at all sampling points according to the number of newly added heavy wounded persons at each sampling point and the number of heavy wounded persons cured and discharged from the hospital, and determine a treatment capability evaluation parameter of the heavy wounded persons according to a preset ratio of the treatment number of the heavy wounded persons to the total number of the heavy wounded persons; and determining the treatment capability of the heavy injured personnel according to the comparison result of the evaluation parameter of the treatment capability of the heavy injured personnel and the preset threshold range of the evaluation parameter of the treatment capability of the heavy injured personnel.
Example 8:
on the basis of the foregoing embodiments, an embodiment of the present invention further provides an electronic device, as shown in fig. 3, including: the system comprises a processor 301, a communication interface 302, a memory 303 and a communication bus 304, wherein the processor 301, the communication interface 302 and the memory 303 complete mutual communication through the communication bus 304;
the memory 303 has stored therein a computer program which, when executed by the processor 301, causes the processor 301 to perform the steps of:
aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in an equipment system and the energy supply of the logistics support category;
determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category;
and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
Based on the same inventive concept, the embodiment of the present invention further provides an electronic device, and as the principle of the electronic device for solving the problem is similar to the method for evaluating the logistics support capability, the implementation of the electronic device may refer to the implementation of the method, and repeated details are omitted.
The electronic device provided by the embodiment of the invention can be a desktop computer, a portable computer, a smart phone, a tablet computer, a Personal Digital Assistant (PDA), a network side device and the like.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface 302 is used for communication between the above-described electronic apparatus and other apparatuses.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a central processing unit, a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like.
When the processor executes the program stored in the memory in the embodiment of the invention, the energy consumption amount required by the operation of the logistics support category in the equipment system and the energy supply amount of the logistics support category are determined aiming at each preset logistics support category; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category. In the embodiment of the invention, aiming at each preset logistics support category, the energy consumption amount required by the combat of the logistics support category in the equipment system and the energy supply amount of the logistics support category are determined; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and then comparing the logistics support capability evaluation parameter of the logistics support category with a preset logistics support capability parameter threshold range of the logistics support category to determine the logistics support capability of the logistics support category. Compared with a scheme of evaluating the logistics support capability by relying on the experience of the logistics personnel, the method avoids the problem that the evaluation result is greatly influenced by the subjective effect of the logistics personnel, and if the experience of the logistics personnel is not rich enough, the accuracy of the obtained capability evaluation result is poor, so that the accuracy of the logistics support capability evaluation is improved.
Example 9:
on the basis of the foregoing embodiments, an embodiment of the present invention further provides a computer storage readable storage medium, in which a computer program executable by an electronic device is stored, and when the program is run on the electronic device, the electronic device is caused to execute the following steps:
and aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in the equipment system, and the energy supply of the logistics support category.
And determining the logistics support capability evaluation parameters of the logistics support categories according to the energy consumption amount required by the operations of the logistics support categories and the energy supply amount of the logistics support categories.
And determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
Based on the same inventive concept, embodiments of the present invention further provide a computer-readable storage medium, and since a principle of solving a problem when a processor executes a computer program stored in the computer-readable storage medium is similar to the logistics support capability assessment method, the implementation of the computer program stored in the computer-readable storage medium by the processor may refer to implementation of the method, and repeated details are not repeated.
The computer readable storage medium may be any available medium or data storage device that can be accessed by a processor in an electronic device, including but not limited to magnetic memory such as floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc., optical memory such as CDs, DVDs, BDs, HVDs, etc., and semiconductor memory such as ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs), etc.
A computer program is stored in a computer-readable storage medium provided in an embodiment of the present invention, and when executed by a processor, the computer program implements determining, for each preset logistics support category, an energy consumption amount required for a combat of the logistics support category in an equipment system, and an energy supply amount of the logistics support category; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category. In the embodiment of the invention, aiming at each preset logistics support category, the energy consumption amount required by the combat of the logistics support category in the equipment system and the energy supply amount of the logistics support category are determined; determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category; and then comparing the logistics support capability evaluation parameter of the logistics support category with a preset logistics support capability parameter threshold range of the logistics support category to determine the logistics support capability of the logistics support category. Compared with a scheme of evaluating the logistics support capability by relying on the experience of the logistics personnel, the method avoids the problem that the evaluation result is greatly influenced by the subjective effect of the logistics personnel, and if the experience of the logistics personnel is not rich enough, the accuracy of the obtained capability evaluation result is poor, so that the accuracy of the logistics support capability evaluation is improved.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (14)

1. An equipment architecture logistics support capability assessment method, the method comprising:
aiming at each preset logistics support category, determining the energy consumption required by the combat of the logistics support category in an equipment system and the energy supply of the logistics support category;
determining a logistics support capability evaluation parameter of the logistics support category according to the energy consumption amount required by the combat of the logistics support category and the energy supply amount of the logistics support category;
and determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and a preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
2. The method of claim 1, wherein if the logistics category is oil support, determining an amount of energy consumption required for the logistics category to fight in the equipment system, and wherein providing the amount of energy for the logistics category comprises:
determining the oil consumption required by the battle according to the quantity of the weapons, the volume of an oil tank of the weapons, the fuel base number of the weapons and the collected residual oil amount;
determining the oil supply amount according to the number of the oil transportation equipment, the volume of an oil tank of the oil transportation equipment, the number of the oil bags and the volume of the oil tank of the oil bags;
according to the required energy consumption of back office support classification combat with the energy supply volume of back office support classification confirms the back office support ability evaluation parameter of back office support classification includes:
and determining an oil supply capacity evaluation parameter according to the ratio of the oil supply amount to the oil consumption amount.
3. The method of claim 1, wherein if the logistics support category is oil support, the method further comprises:
determining the oil receiving time of each weapon equipment according to the oil receiving starting time and the oil receiving ending time of each weapon equipment;
determining an average value of the oil receiving time lengths of all weaponry, and determining oil filling evaluation parameters according to the ratio of the average value to a preset oil receiving time length;
and determining the oil filling guarantee capacity according to the comparison result of the oil filling evaluation parameter and the preset oil filling evaluation parameter threshold range.
4. The method of claim 1, wherein if the logistics category is ammunition support, determining an amount of energy consumed by the logistics category for combat in the equipment hierarchy, and wherein providing the amount of energy for the logistics category comprises:
determining the consumption of each type of ammunition at each sampling point and determining the total consumption of the type of ammunition at all the sampling points; determining the provided amount of the ammunition according to the number of the ammunition transportation equipment and the number of the ammunition carried by the ammunition transportation equipment;
according to the required energy consumption of back office support classification combat with the energy supply volume of back office support classification confirms the back office support ability evaluation parameter of back office support classification includes:
and determining the ammunition guarantee capability evaluation parameter according to the ratio of the provided amount of the ammunition to the total consumption amount of the ammunition for each type of ammunition.
5. The method of claim 1, wherein if the logistics class is service, the method further comprises:
determining the total number of the light wounded personnel at all sampling points according to the newly increased number of the light wounded personnel and the number of the light wounded personnel cured and discharged from a hospital at each sampling point, and determining the evaluation parameter of the treatment capacity of the light wounded personnel according to the preset ratio of the treatment number of the light wounded personnel to the total number of the light wounded personnel;
and determining the treatment capability of the light wounded personnel according to the comparison result of the light wounded personnel treatment capability assessment parameter and the preset threshold range of the light wounded personnel treatment capability assessment parameter.
6. The method of claim 1, wherein if the logistics class is service, the method further comprises:
determining the total number of the serious injury personnel at all sampling points according to the number of newly increased serious injury personnel and the number of serious injury personnel cured and discharged at each sampling point, and determining the evaluation parameter of the treatment capability of the serious injury personnel according to the preset ratio of the treatment number of the serious injury personnel to the total number of the serious injury personnel;
and determining the treatment capability of the heavy injured personnel according to the comparison result of the evaluation parameter of the treatment capability of the heavy injured personnel and the preset threshold range of the evaluation parameter of the treatment capability of the heavy injured personnel.
7. An equipment architecture logistics support capability assessment apparatus, the apparatus comprising:
the system comprises a first determining module, a second determining module and a control module, wherein the first determining module is used for determining the energy consumption amount required by the combat of each preset logistics support category in an equipment system and the energy supply amount of the logistics support category;
the second determination module is used for determining the logistics support capability evaluation parameters of the logistics support categories according to the energy consumption amount required by the combat of the logistics support categories and the energy supply amount of the logistics support categories;
and the third determination module is used for determining the logistics support capability of the logistics support category according to the logistics support capability assessment parameter of the logistics support category and the preset comparison result of the logistics support capability parameter threshold range of the logistics support category.
8. The device of claim 7, wherein if the logistics support category is oil support, the first determination module is specifically configured to determine the oil consumption amount required for the battle according to the quantity of weapons, the tank volume of the weapons, the fuel base of the weapons, and the collected remaining oil amount; determining the oil supply amount according to the number of the oil transportation equipment, the volume of an oil tank of the oil transportation equipment, the number of the oil bags and the volume of the oil tank of the oil bags;
the second determining module is specifically configured to determine an oil supply capacity evaluation parameter according to a ratio of the oil supply amount to the oil consumption amount.
9. The apparatus of claim 7, wherein if the logistics support category is oil support, the third determining module is further configured to determine an oil receiving duration of each weaponry according to an oil receiving starting time and an oil receiving ending time of each weaponry; determining an average value of the oil receiving time lengths of all weaponry, and determining oil filling evaluation parameters according to the ratio of the average value to a preset oil receiving time length; and determining the oil filling guarantee capacity according to the comparison result of the oil filling evaluation parameter and the preset oil filling evaluation parameter threshold range.
10. The apparatus according to claim 7, wherein if the logistics support category is ammunition support, the first determining module is specifically configured to determine, for each ammunition, the consumption of that ammunition at each sampling point and determine the total consumption of that ammunition at all sampling points; determining the provided amount of the ammunition according to the number of the ammunition transportation equipment and the number of the ammunition carried by the ammunition transportation equipment;
the second determination module is specifically used for determining the ammunition guarantee capability evaluation parameter according to the ratio of the provided amount of the ammunition to the total consumption amount of the ammunition for each type of ammunition.
11. The apparatus according to claim 7, wherein if the logistics support category is service support, the third determining module is further configured to determine the total number of light injured persons at all sampling points according to the newly increased number of light injured persons and the number of light injured persons discharged from hospital, and determine a light injured person treatment capacity evaluation parameter according to a preset ratio of the number of light injured persons to the total number of light injured persons; and determining the treatment capability of the light wounded personnel according to the comparison result of the light wounded personnel treatment capability assessment parameter and the preset threshold range of the light wounded personnel treatment capability assessment parameter.
12. The device according to claim 7, wherein if the logistics support category is service support, the third determining module is further configured to determine the total number of the heavy injured persons at all the sampling points according to the number of newly added heavy injured persons and the number of the heavy injured persons cured and discharged from the hospital at each sampling point, and determine the evaluation parameter of the treatment capacity of the heavy injured persons according to a preset ratio of the treatment number of the heavy injured persons to the total number of the heavy injured persons; and determining the treatment capability of the heavy injured personnel according to the comparison result of the evaluation parameter of the treatment capability of the heavy injured personnel and the preset threshold range of the evaluation parameter of the treatment capability of the heavy injured personnel.
13. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of claims 1 to 6 when executing a program stored in the memory.
14. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1-6.
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