CN111553773A - Intelligent solution for engineering equipment leasing based on mobile terminal APP system - Google Patents
Intelligent solution for engineering equipment leasing based on mobile terminal APP system Download PDFInfo
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Abstract
The invention provides an intelligent solution for leasing engineering equipment based on a mobile terminal APP system, which comprises a dynamic pricing method, a vehicle utilization estimation method and a credit rating method based on parameters acquired by the mobile terminal APP system. The invention provides an intelligent solution for non-contact on-line fully-closed loop incoming vehicle leasing based on parameter acquisition of a mobile terminal APP system, which realizes multi-link full automation, avoids off-line contact, brings great convenience to users, improves the use convenience of customers, realizes the on-line operation of the whole flow from selection quotation, on-line payment to delivery in the field of engineering equipment leasing, changes the traditional 'person-to-person communication' mode, and greatly improves the equipment leasing demand response capability and service capability by utilizing the Internet technology.
Description
Technical Field
The invention belongs to the technical field of engineering equipment leasing, and particularly relates to an intelligent solution for engineering equipment leasing based on a mobile terminal APP system.
Background
In recent years, with the increasing labor cost in China, the high-altitude vehicle can greatly improve the labor efficiency and reduce the labor cost, the high-altitude vehicle industry is greatly developed, and particularly, the high-altitude vehicle leasing industry participates in the high-altitude vehicle operation more and more widely. The existing field of engineering equipment leasing provides high-altitude mechanical equipment leasing service for customers, but the high-altitude mechanical equipment leasing of most companies depends on manual operation and is communicated in a human-to-human mode, so that the problems of inconvenient high-altitude mechanical equipment leasing, inconvenient use and the like are caused, even the customers need to lease to fixed places, the leasing points are often far away, and the customers are very inconvenient. Communication is needed in each stage, if a client needs to communicate on the spot in the early stage, the client puts forward a request, consults, selects a product, places an order and signs a contract for payment; in different stages of transportation, construction and the like, real-time communication by telephone is needed, and tracking of real-time progress is concerned.
Therefore, it is an urgent need to solve the above problems by those skilled in the art to develop a method for realizing on-line efficient leasing of engineering equipment.
Disclosure of Invention
In order to solve the problems, the invention discloses an intelligent solution for leasing engineering equipment based on a mobile terminal APP system.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent solution for leasing engineering equipment based on a mobile terminal APP system comprises a dynamic pricing method, a vehicle utilization estimation method and a credit rating method based on parameters obtained by the mobile terminal APP system; the dynamic pricing method implements price adjustment according to the supply condition and the change of the inventory level, and provides different products, promotion benefits and regional product pricing for users; estimating the type, the using time and the vehicle budget of the vehicle by using a vehicle estimation method; the credit rating method scores according to the social integrity, the financial integrity and the industry integrity of the user, and reflects the credit condition of the user in the industry through the score obtained by comprehensive evaluation.
Further, the specific method of the dynamic pricing method is as follows:
(1-1) acquiring device information of a device, the device information including a purchase price M of the device, a lifetime Q of the device, a depreciation age a of the device, a annual rate of decrease in rental cost of the device K;
(1-2 a) when the lease charging mode adopted by the equipment is monthly lease, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]/(A*13);
(1-2 b) when the lease charging mode adopted by the equipment is weekly lease, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]*η1/(A*48);
(1-2 c) when the lease charging mode adopted by the equipment is lease by day, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]*η2/(A*260);
wherein, eta 1 represents the compensation coefficient of renting according to the week, and eta 2 represents the compensation coefficient of renting according to the day;
(1-3) when there is a promotional offer, the post-offer rental price Pd = P x D, where D represents a discount on the promotional offer.
Further, the specific method of the vehicle estimation method is as follows:
(2-1) acquiring an engineering address, an engineering scale and an engineering budget of a user, and acquiring a building area and an engineering height h of an engineering according to the engineering scale;
(2-2) obtaining the equipment type Ct, Ct = { shearing, 4< = h < =14 according to the engineering height h; cross-country scissor, 12< = h < = 16; crank arm, 14< = h < = 25; straight arm, 18< = h < = 56; spider, 24< = h < =31 };
(2-3) obtaining a device price P1= f (Ct) according to the device type Ct and the dynamic pricing method in claim 2;
(2-4) acquiring the number of days of use of the device Ut, Ut = KS, where K represents a coefficient value of the device area versus time, from the device area S;
(2-5) obtaining a vehicle budget Up, Up = P1 × Ut.
Further, the specific method of the credit rating method is as follows:
(3-1) establishing a credit model based on three dimensions of social integrity, financial integrity and industry integrity;
(3-2) calculating a score for each dimension by default to normal ratio;
if the estimated default probability is represented by p, the estimated normal probability is 1-p, and the normal ratio n = p/(1-p);
the fraction s of each dimension is defined as a linear expression of the normal ratio, i.e.
s=A-B*log(n);
Wherein A, B are constants, A is a compensation fraction, and B is a scale;
(3-3) calculating scores of three dimensions, namely s1, s2 and s3 respectively, and then expressing the total credit score as follows:
Ts=k1*s1+k2*s2+k3*s3;
where k1 represents the fractional weight of the financial integrity dimension, k2 represents the fractional weight of the social integrity dimension, and k3 represents the fractional weight of the industry integrity dimension.
Further, k1 was 35%, k2 was 35%, and k3 was 30%.
Compared with the prior art, the invention provides an intelligent solution for non-contact online fully-closed loop incoming vehicle leasing based on the parameters acquired by the mobile terminal APP system, realizes multi-link full automation, avoids offline contact, brings great convenience to users, improves the use convenience of customers, realizes the online operation of the whole flow from selection quotation and online payment to delivery and delivery in the field of engineering equipment leasing, changes the traditional 'person-to-person communication' mode, and greatly improves the equipment leasing demand response capability and service capability by using the internet technology.
Detailed Description
The technical solutions provided by the present invention will be described in detail below with reference to specific examples, and it should be understood that the following specific embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention.
The invention relates to an intelligent solution for leasing engineering equipment based on a mobile terminal APP system, which comprises a dynamic pricing method, a vehicle utilization estimation method and a credit rating method based on parameters acquired by the mobile terminal APP system.
The dynamic pricing method implements price adjustment according to the change of supply conditions and inventory levels, and provides different products, promotion benefits and regional product pricing for users.
The specific method of the dynamic pricing method is as follows:
(1-1) acquiring device information of a device, the device information including a purchase price M of the device, a lifetime Q of the device, a depreciation age a of the device, a annual rate of decrease in rental cost of the device K;
(1-2 a) when the lease charging mode adopted by the equipment is monthly lease, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]/(A*13);
(1-2 b) when the lease charging mode adopted by the equipment is weekly lease, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]*η1/(A*48);
(1-2 c) when the lease charging mode adopted by the equipment is lease by day, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]*η2/(A*260);
wherein, eta 1 represents the compensation coefficient of renting according to the week, and eta 2 represents the compensation coefficient of renting according to the day;
(1-3) when there is a promotional offer, the post-offer rental price Pd = P x D, where D represents a discount on the promotional offer.
The dynamic pricing method can timely clear redundant inventory without continuously sacrificing price and potential income. The user can observe the latest price and preferential activity in real time through the APP, and both parties can benefit.
The vehicle forecasting method forecasts the type of the vehicle, the service life and the vehicle budget.
The specific method of the vehicle estimation method is as follows:
(2-1) acquiring an engineering address, an engineering scale and an engineering budget of a user, and acquiring a building area and an engineering height h of an engineering according to the engineering scale;
(2-2) obtaining the equipment type Ct, Ct = { shearing, 4< = h < =14 according to the engineering height h; cross-country scissor, 12< = h < = 16; crank arm, 14< = h < = 25; straight arm, 18< = h < = 56; spider, 24< = h < =31 };
(2-3) obtaining a device price P1= f (Ct) according to the device type Ct and the dynamic pricing method in claim 2;
(2-4) acquiring the number of days of use of the device Ut, Ut = KS, where K represents a coefficient value of the device area versus time, from the device area S;
(2-5) obtaining a vehicle budget Up, Up = P1 × Ut.
The credit rating method scores according to the social integrity, the financial integrity and the industry integrity of the user, and reflects the credit condition of the user in the industry through the score obtained by comprehensive evaluation.
The specific method of the credit rating method is as follows:
(3-1) establishing a credit model based on three dimensions of social integrity, financial integrity and industry integrity;
(3-2) calculating a score for each dimension by default to normal ratio;
if the estimated default probability is represented by p, the estimated normal probability is 1-p, and the normal ratio n = p/(1-p);
the fraction s of each dimension is defined as a linear expression of the normal ratio, i.e.
s=A-B*log(n);
Wherein A, B are constants, A is a compensation fraction, and B is a scale;
(3-3) calculating scores of three dimensions, namely s1, s2 and s3 respectively, and then expressing the total credit score as follows:
Ts=k1*s1+k2*s2+k3*s3;
where k1 represents the fractional weight of the financial integrity dimension at 35%, k2 represents the fractional weight of the social integrity dimension at 35%, and k3 represents the fractional weight of the industry integrity dimension at 30%.
The credit rating method unifies the credit rating system of the equipment leasing market, has specific accuracy and interpretability, can be adjusted according to the business requirements, and can set different credit investigation lists according to different rules.
Red list: for the customers with more important company, the system can be set as a red list;
the method is a favorable platform for credit construction for construction and installation enterprises. For the enterprises with good credit, the incentives such as preferential treatment and simplified programs can be implemented according to the aspects of actual condition, business development and the like, and the enterprises can be regarded as the added items in the aspect of enjoying favorable business policies. And regularly output to the government to assist the government in making decisions of inclined policies such as preferential support and the like.
Black list: for the client with extremely poor credit, the client can be set as a blacklist;
the blacklist includes all the main bodies of the aerial work equipment market under the following conditions, and is listed in an equipment market main body as a "blacklist".
a. Fraudulently acquiring rental equipment by using false materials;
b. the generation of package transfer and loan qualification, which are penalized by administration;
c. major and above engineering quality safety accidents occur, or major quality safety accidents occur for 2 times and above in 1 year in an accumulated mode, or major quality safety accidents with bad properties, serious harmfulness and large social influence occur, and are subjected to administrative punishment;
d. the client defaults the rent for more than 90 days and starts the prosecution process after passing the legal affairs
In the aspect of blacklist, the self-repairing credit is encouraged and supported, the platform can regularly publish relevant rules to the clients in the blacklist, clearly indicate the reasons for entering the blacklist (for example, the clients can display the information and provide a method for improving the rating due to overdue reasons), guide the clients to improve the rating, establish a social encouragement and care mechanism which is beneficial to self-correction and active self-renewal, encourage the blacklist main body to repair the credit by actively correcting the losing behavior, eliminating the adverse social influence and the like, and affirm that the credit repairing condition can be used as an important reference for quitting the blacklist by a department (unit).
When the method is actually used, a user logs in the mobile terminal APP to automatically obtain the current address; inputting information of different dimensions such as project types and scales, intelligently recommending a product of a one-stop solution according to a current user address or a selected project address, a user credit rating score and relevant information input by a user, and saving a large amount of time for the user to select the solution; performing operations such as online ordering, signing, payment and the like according to the provided scheme; according to the weight and the height of the equipment, a height-limited road section is avoided, an optimal transportation scheme is intelligently selected, and a destination is reached in the fastest time period, so that a user can monitor the real-time track of transportation in real time and is convenient to track in real time; in the construction stage, if equipment fails, a repair reporting function can be submitted through an APP and a key, or a virtual reality technology system is combined to solve a remote failure; and (4) completing construction, returning the equipment to the field and completing one-stop service of the whole process.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the technical solutions, and those skilled in the art should understand that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all the modifications and equivalent substitutions should be covered by the claims of the present invention.
Claims (5)
1. An engineering equipment leasing intelligent solution based on a mobile terminal APP system is characterized in that: the method comprises the steps of obtaining a dynamic pricing method of parameters based on a mobile terminal APP system, a vehicle utilization estimation method and a credit rating method; the dynamic pricing method implements price adjustment according to the change of supply conditions and inventory levels, and provides different products, promotion benefits and regional product pricing for users; the vehicle estimation method estimates the type, the service life and the vehicle budget of the vehicle; the credit rating method scores according to social integrity, financial integrity and industry integrity of the user, and reflects the credit condition of the user in the industry through a score obtained by comprehensive evaluation.
2. The intelligent solution for engineering equipment leasing based on the mobile-end APP system of claim 1, wherein: the specific method of the dynamic pricing method is as follows:
(1-1) acquiring device information of a device, the device information including a purchase price M of the device, a lifetime Q of the device, a depreciation age a of the device, a annual rate of decrease in rental cost of the device K;
(1-2 a) when the lease charging mode adopted by the equipment is monthly lease, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]/(A*13);
(1-2 b) when the lease charging mode adopted by the equipment is weekly lease, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]*η1/(A*48);
(1-2 c) when the lease charging mode adopted by the equipment is lease by day, the calculation formula of the lease price P of the equipment is as follows:
P=M*[1-(Q-A)^K]*η2/(A*260);
wherein, eta 1 represents the compensation coefficient of renting according to the week, and eta 2 represents the compensation coefficient of renting according to the day;
(1-3) when there is a promotional offer, the post-offer rental price Pd = P x D, where D represents a discount on the promotional offer.
3. The intelligent solution for engineering equipment leasing based on the mobile-end APP system of claim 2, wherein: the specific method of the vehicle estimation method is as follows:
(2-1) acquiring an engineering address, an engineering scale and an engineering budget of a user, and acquiring a building area and an engineering height h of an engineering according to the engineering scale;
(2-2) obtaining the equipment type Ct, Ct = { shearing, 4< = h < =14 according to the engineering height h; cross-country scissor, 12< = h < = 16; crank arm, 14< = h < = 25; straight arm, 18< = h < = 56; spider, 24< = h < =31 };
(2-3) obtaining a device price P1= f (Ct) according to the device type Ct and the dynamic pricing method in claim 2;
(2-4) acquiring the number of days of use of the device Ut, Ut = KS, where K represents a coefficient value of the device area versus time, from the device area S;
(2-5) obtaining a vehicle budget Up, Up = P1 × Ut.
4. The intelligent solution for engineering equipment leasing based on the mobile-end APP system of claim 1, wherein: the credit rating method comprises the following specific steps:
(3-1) establishing a credit model based on three dimensions of social integrity, financial integrity and industry integrity;
(3-2) calculating a score for each dimension by default to normal ratio;
if the estimated default probability is represented by p, the estimated normal probability is 1-p, and the normal ratio n = p/(1-p);
the fraction s of each dimension is defined as a linear expression of the normal ratio, i.e.
s=A-B*log(n);
Wherein A, B are constants, A is a compensation fraction, and B is a scale;
(3-3) calculating scores of three dimensions, namely s1, s2 and s3 respectively, and then expressing the total credit score as follows:
Ts=k1*s1+k2*s2+k3*s3;
where k1 represents the fractional weight of the financial integrity dimension, k2 represents the fractional weight of the social integrity dimension, and k3 represents the fractional weight of the industry integrity dimension.
5. The intelligent solution for engineering equipment leasing based on the mobile-end APP system of claim 4, wherein: the k1 is 35%, the k2 is 35%, and the k3 is 30%.
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CN117455351A (en) * | 2023-09-06 | 2024-01-26 | 广州箭头信息科技有限公司 | Intelligent management method and system for equipment leasing warehouse based on Saas platform |
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CN117455351B (en) * | 2023-09-06 | 2024-05-17 | 广州箭头信息科技有限公司 | Intelligent management method and system for equipment leasing warehouse based on Saas platform |
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Application publication date: 20200818 |