A method for intelligently matching check-in of domestic waste collection and transportation vehicles

Abstract

The present invention provides a method for intelligently matching the check-in of domestic waste collection and transportation vehicles, which solves the problems of cheating in the existing check-in of transfer vehicles. The method uses a wireless terminal and a positioning device to determine the location of the vehicle, and judges whether the relative distance between the vehicle trajectory and the collection point is within a predetermined range. If it is within the predetermined range, it will automatically check in, otherwise, it will exclude the point and find the next point. The present invention has the advantages of high vehicle positioning accuracy and effective avoidance of cheating.

Description

Technical Field

[0001] The invention belongs to the field of computer management technology, and in particular relates to a method for intelligently matching check-ins of domestic waste collection and transportation vehicles. Background Art

[0002] With the continuous deepening of the digital reform of the collection and transportation of classified domestic waste, the management requirements for the collection and transportation process are getting higher and higher. The traditional method of only providing simple vehicle trajectories can no longer meet the daily management requirements. There are two main directions for the refined management of the collection and transportation process. The first is to make requirements from the management perspective, mainly to manage the requirements of the collection and transportation personnel, such as signing in, taking photos and recording videos at each point in the collection and transportation process as evidence. This management method is not conducive to management and statistics, and also increases the workload of the collection and transportation personnel. Leading to low efficiency. The second is to explore from the perspective of intelligent algorithms, and calculate and match traces based on vehicle trajectory information, point information and automatic capture. All calculation processes and intelligent matching processes are automatically completed by the background service. The collection and transportation personnel do not need to pay attention or do any operations. They also meet the management requirements and improve work efficiency. At present, the management of domestic waste collection and transportation vehicles is still relatively extensive, and there are the following shortcomings: the domestic waste collection and transportation process is managed by on-board video and vehicle trajectory. This method is difficult. The on-board video and vehicle trajectory are retrieved every day for manual viewing, which is basically impossible to operate. In addition, some vehicles with high management requirements require drivers to manually sign in and take photos when arriving at each collection and transportation point. This method affects the work efficiency of the collection and transportation personnel, and occasionally forgets to collect incomplete data. The authenticity of the collected data cannot be guaranteed, and the collection and transportation personnel can forge records and pictures to deceive management.

[0003] In order to solve the shortcomings of the existing technology, people have conducted long-term exploration and proposed various solutions. For example, a Chinese patent document discloses a multi-terminal joint clocking attendance system and a clocking method [202111517271.0], which includes a mobile terminal, a vehicle terminal and a server; wherein: the mobile terminal includes a first wireless communication module, a clocking module, and a third wireless communication module; the vehicle terminal includes a second wireless communication module and a CAN communication module.

[0004] The above solution has solved the problem of automatic sign-in and clock-in for transfer vehicles to a certain extent, but the solution still has many shortcomings, such as the problem that collection and transportation personnel can commit fraud and deceive management. Summary of the invention

[0005] The purpose of the present invention is to address the above-mentioned problems and to provide a method for intelligently matching the sign-in of domestic waste collection and transportation vehicles, which has a reasonable design and can effectively prevent collection and transportation personnel from cheating in signing in.

[0006] To achieve the above object, the present invention adopts the following technical solution: a method for intelligently matching the check-in of domestic waste collection and transportation vehicles, comprising the following steps:

[0007] S1: Place the wireless terminal at the collection point S and collect the longitude and latitude coordinate data of the collection point S. Set the coordinate data of the nth collection point S as Pn, and upload the collected longitude and latitude coordinate data to the algorithm server;

[0008] S2: The critical value of the relative distance between the vehicle trajectory and the collection point S is preset as k;

[0009] S3: During the vehicle collection and transportation process, the positioning device periodically and automatically obtains the vehicle's GPS coordinate location information. The vehicle's coordinate information at time t is Gt, and the distance between the vehicle and the nth collection point S is d=|Gt-Pn|;

[0010] S4: Compare the d value with the k value. If d < k, record the d value match successfully, indicating that the sign-in is successful, record that the vehicle has been to the Pn point, and remove the point Pn from the collection point S table; otherwise, the match is unsuccessful, discard the calculated value of the point, and continue to find the next point for calculation until all calculations are completed. The entire process uses a matching algorithm and is calculated in real time by the algorithm server, which effectively prevents the transfer personnel from cheating in signing in.

[0011] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, the longitude and latitude coordinate information of the collection point S in step S1 includes the point code, point name, point address, commissioning date and usage status, and the point address is converted into longitude and latitude coordinate data. The longitude and latitude coordinate information is used to establish a corresponding information database to accurately determine the location information of each collection point.

[0012] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, the wireless terminal in step S1 is equipped with a fingerprint check-in module or a face check-in module. When the positioning check-in system fails, the on-site check-in system can be temporarily enabled to ensure the normal operation of the collection and transportation work.

[0013] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, step S2 includes the following steps:

[0014] S21: Collect information about intersections near point S on site, and mark the corner of the straight path where point S is located as node Ja;

[0015] S22: Compare the relative distances between each node Ja and the collection point S, select the node Ja with the smallest distance as the critical point L, and the relative distance between the critical point L and the collection point S as the critical value k. The critical value k is selected using the relative distances between each collection point and the corner of the intersection to obtain the optimal check-in range.

[0016] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, step S2 includes the following steps:

[0017] S23: Compare the relative distances between each node Ja and the collection point S, select the node Ja with the largest distance as the identification point B, and the relative distance between the identification point B and the collection point S as the identification value N;

[0018] S24: Establish an identification area M with a radius of N with the collection point S as the center;

[0019] S25: If the recognition areas M overlap, the straight-line relative distance D of the collection point S corresponding to the overlapping recognition areas M is calculated, and the radius N value of the recognition area M with the larger radius is compared with the D value;

[0020] S26: If D<N, the critical value k of the collection point S corresponding to the identification area M is halved. When the check-in areas of multiple collection points S overlap, the check-in areas are optimized to effectively avoid missed check-ins.

[0021] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, the distance d between the vehicle and the nth collection point S in step S3 is calculated using the haversine formula. The haversine formula realizes the conversion between longitude and latitude coordinates and relative distance, and is calculated by the algorithm server.

[0022] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, in step S3, the positioning device collects longitude and latitude coordinates every 3 seconds and transmits the coordinates back to the algorithm server through the operator network. The positioning device transmits its own position at regular intervals to plan the actual operation route of the vehicle.

[0023] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, step S4 further includes the following steps:

[0024] S41: The wireless terminal is equipped with a WiFi hotspot, a check-in distance f is set, and the check-in distance f<k, and the application terminal carried by the vehicle collects the mac addresses of the WiFi hotspots to establish a list;

[0025] S42: When the application terminal is not connected to the WiFi hotspot, the application terminal scans nearby hotspots in the background, and when the collected WiFi hotspot mac addresses are detected, the WiFi hotspot with the largest signal strength is selected and the relative distance t is estimated based on the signal strength;

[0026] S43: When the relative distance t<f, the terminal information is recorded, indicating that the sign-in is successful, and the point Pn corresponding to the wireless terminal is removed from the collection point S table; if the relative distance t≥f or the signal strength is lower than the threshold, no record is made until a valid sign-in condition is met. Enable the WiFi sign-in system for secondary verification to effectively improve the accuracy of sign-in.

[0027] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, the algorithm server is connected to the wireless sending unit of the positioning device through the wireless receiving unit, and the algorithm server is connected to the wireless terminal through the operator network. The algorithm server realizes information transmission based on the wireless transceiver unit and realizes independent vehicle monitoring through the operator network.

[0028] In the above-mentioned method for intelligent matching of check-in of domestic waste collection and transportation vehicles, the positioning device adopts any one or more combinations of GPS positioning, base station positioning or hybrid positioning. According to actual needs, a suitable positioning method is selected to obtain the best positioning accuracy.

[0029] Compared with the existing technology, the advantages of the present invention are: the location of the collection and transportation vehicle is calculated in real time by the matching algorithm and the check-in is performed automatically, which effectively avoids the possibility of cheating caused by manual check-in; the appropriate check-in range is automatically planned according to the location of the collection point, thereby avoiding the phenomenon of missed check-ins; the location check-in is combined with the WiFi check-in to realize double-layer verification and improve the accuracy of check-in. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a method structure diagram of the present invention.

[0031] Figure 2 It is a system principle diagram of the present invention.

[0032] Figure 3 It is the collection point planning map of the present invention. DETAILED DESCRIPTION

[0033] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0034] like Figure 1 As shown, a method for intelligently matching the check-in of domestic waste collection and transportation vehicles includes the following steps:

[0035] S1: Place the wireless terminal at the collection point S site and collect the longitude and latitude coordinate data of the collection point S. The operator can check the coordinates of the collection point S on site through the collection mobile terminal and enter the coordinate information into the wireless terminal or algorithm server; let the coordinate data of the nth collection point S be Pn, such as P1, P2, P3; and upload the collected longitude and latitude coordinate data to the algorithm server and establish a corresponding database;

[0036] S2: The critical value k of the relative distance between the vehicle trajectory and the collection point S is preset. The critical value k is automatically generated by the corresponding algorithm. When encountering complex road conditions, the critical value k of the collection point S is set manually;

[0037] S3: The vehicle keeps moving during the collection and transportation process. The positioning device periodically and automatically obtains the vehicle's GPS coordinate location information and transmits the location information to the algorithm server. The coordinate information of the vehicle at time t is Gt. At this time, the distance between the vehicle and the nth collection point S is d=|Gt-Pn|;

[0038] S4: The algorithm server compares the d value with the k value. If d < k, the d value is recorded as a successful match, indicating a successful sign-in, and the vehicle at point Pn is recorded as having been there, and point Pn is removed from the collection point S table; if d ≥ k, the match is unsuccessful, the calculated value of the point is discarded, and the next point is searched for calculation until all calculations are completed. The entire verification process is automatically calculated in real time by the algorithm server, and the collection and transportation personnel do not need to pay attention or do anything, meeting the regulatory requirements without affecting work efficiency.

[0039] Specifically, the longitude and latitude coordinate information of the collection point S in step S1 includes the point code, point name, point address, commissioning date and usage status, and the point address is converted into longitude and latitude coordinate data. A table is established for each collection point S in the algorithm service, and the longitude and latitude coordinate information is recorded. When the position of the collection point S is adjusted, the point address is adjusted accordingly and the longitude and latitude coordinates are re-determined.

[0040] Further, the wireless terminal in step S1 is equipped with a fingerprint sign-in module or a face sign-in module. In addition, other means such as iris verification can also be used to verify the transfer personnel. The camera connected to the wireless terminal can collect license plate information and verify the information of the transfer vehicle.

[0041] like Figure 3 As shown, step S2 includes the following steps:

[0042] S21: The staff collects information on the spot or uses the existing map to collect information about the intersections near the point S. The corner of the straight path where the point S is located is marked as node Ja. The straight path retains the two nodes J1 and J2 before and after. When it is at a complex grid road such as an intersection, the nodes J1, J2, J3, etc. are marked in sequence;

[0043] S22: Compare the relative distances between each node Ja and the collection point S, select the node Ja with the smallest distance as the critical point L, and the relative distance between the critical point L and the collection point S as the critical value k.

[0044] Furthermore, under normal conditions, the collection points S are evenly distributed and keep a relatively long distance, but there is also a situation where some collection points S are too close. Step S2 includes the following steps:

[0045] S23: Compare the relative distances between each node Ja and the collection point S, select the node Ja with the largest distance as the identification point B, and the relative distance between the identification point B and the collection point S as the identification value N;

[0046] S24: Establish an identification area M with a radius of N with the collection point S as the center; the remaining nodes Ja are covered by the identification area M;

[0047] S25: If the recognition areas M overlap, it usually means that the straight line paths where the collection points S are located intersect. At this time, the straight line relative distance D of the collection points S corresponding to the overlapping recognition areas M is calculated, and the radius N value of the recognition area M with a larger radius is compared with the D value.

[0048] S26: If D<N, it means that the critical point L corresponding to the critical value k of the collection point S coincides. When the transfer vehicle reaches the critical point L, it can cheat and complete the sign-in of multiple collection points S at one time. At this time, the critical value k of the collection point S corresponding to the identification area M is halved, so that the transfer vehicle can only select the path one by one and continue driving to complete the actual sign-in, thereby effectively avoiding cheating by the transfer personnel.

[0049] In addition, in step S3, the distance d between the vehicle and the nth collection point S is calculated using the haversine formula. The haversine formula is specifically as follows:

[0050]

[0051] At the same time, in step S3, the positioning device collects longitude and latitude coordinates every 3 seconds, and transmits the coordinates back to the algorithm server through the operator network to track the location of the vehicle in real time. The algorithm server and the built-in APP of the positioning device provide path planning.

[0052] It can be seen that step S4 also includes the following steps:

[0053] S41: The wireless terminal is equipped with a WiFi hotspot, and the WiFi hotspot is used to measure the distance of the vehicle equipped with the positioning device; the check-in distance f is set, and the check-in distance f<k, and the application terminal carried by the vehicle collects the mac addresses of the WiFi hotspots to establish a list;

[0054] S42: When the application terminal is not connected to the WiFi hotspot, the application terminal background scans nearby hotspots. When the collected WiFi hotspot mac addresses are detected, the WiFi hotspot with the largest signal strength is selected and the relative distance t is estimated by the signal strength. The wireless terminal corresponding to the WiFi hotspot and its collection point S are the points closest to the transfer vehicle.

[0055] S43: When the relative distance t<f, the terminal information is recorded, indicating that the sign-in is successful, and the point Pn corresponding to the wireless terminal is removed from the collection point S table; if the relative distance t≥f or the signal strength is lower than the threshold, no record is made until a valid sign-in condition is met for recording. Under normal conditions, the transfer vehicle is signed in by the positioning device, and the WiFi sign-in is used as a secondary verification. If the positioning device successfully signs in with the wireless terminal location but the WiFi sign-in does not respond, the sign-in is recorded as an abnormal sign-in, and then the historical movement path of the transfer vehicle is checked, and the sign-in is checked again.

[0056] like Figure 2 As shown, the algorithm server is connected to the wireless sending unit of the positioning device through a wireless receiving unit, and the algorithm server is connected to the wireless terminal through the operator network; the positioning device adopts any one or more combinations of GPS positioning, base station positioning or hybrid positioning. GPS positioning confirms the latitude, longitude and altitude of the positioning device through satellite signals, and base station positioning uses the signal strength received by multiple base stations and the positioning device to determine the vehicle position.

[0057] To sum up, the principle of this embodiment is to use the wireless terminal and the positioning device to determine the position of the vehicle, and judge whether the relative distance between the vehicle trajectory and the collection point is within a predetermined range. If it is within the predetermined range, it will automatically sign in, otherwise exclude the point and look for the next point.

[0058] The specific embodiments described herein are merely examples of the spirit of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in similar ways, but they will not deviate from the spirit of the present invention or exceed the scope defined by the appended claims.

[0059] Although the terminology of wireless terminal, positioning device, etc. is used more frequently in this article, the possibility of using other terms is not excluded. These terms are used only to more conveniently describe and explain the essence of the present invention; interpreting them as any additional restrictions is contrary to the spirit of the present invention.

Claims

1. A method for intelligently matching check-in of domestic waste collection and transportation vehicles, characterized in that: The steps include: S1: Place the wireless terminal at the collection point S and collect the longitude and latitude coordinate data of the collection point S. Set the coordinate data of the nth collection point S as Pn, and upload the collected longitude and latitude coordinate data to the algorithm server; S2: The critical value of the relative distance between the vehicle trajectory and the collection point S is preset as k; S21: Collect information about intersections near point S on site, and mark the corner of the straight path where point S is located as node Ja; S22: Compare the relative distances between each node Ja and the collection point S, select the node Ja with the smallest distance as the critical point L, and the relative distance between the critical point L and the collection point S as the critical value k; S3: During the vehicle collection and transportation process, the positioning device periodically and automatically obtains the vehicle's GPS coordinate location information. The vehicle's coordinate information at time t is Gt, and the distance between the vehicle and the nth collection point S is d=|Gt-Pn|; S4: Compare the d value with the k value. If d<k, record that the d value matches successfully, indicating that the sign-in is successful, record that the vehicle has been to the Pn point, and remove the point Pn from the collection point S table; otherwise, the match fails, discard the calculated value of the point, and continue to find the next point for calculation until all calculations are completed.

2. According to claim 1, a method for intelligent matching of check-in of domestic waste collection and transportation vehicles is characterized in that: The longitude and latitude coordinate information of the collected point S in step S1 includes the point code, point name, point address, commissioning date and usage status, and the point address is converted into longitude and latitude coordinate data.

3. According to claim 1, a method for intelligent matching of check-in of domestic waste collection and transportation vehicles is characterized in that: The wireless terminal in step S1 is equipped with a fingerprint sign-in module or a face sign-in module.

4. The method for intelligently matching check-in of domestic waste collection and transportation vehicles according to claim 1 is characterized in that: The step S2 comprises the following steps: S23: Compare the relative distances between each node Ja and the collection point S, select the node Ja with the largest distance as the identification point B, and the relative distance between the identification point B and the collection point S as the identification value N; S24: Establish an identification area M with a radius of N with the collection point S as the center; S25: If the recognition areas M overlap, the straight-line relative distance D of the collection point S corresponding to the overlapping recognition areas M is calculated, and the radius N value of the recognition area M with the larger radius is compared with the D value; S26: If D<N, the critical value k of the collection point S corresponding to the identification area M is halved.

5. The method for intelligently matching check-in of domestic waste collection and transportation vehicles according to claim 1 is characterized in that: In step S3, the distance d between the vehicle and the nth collection point S is calculated using the haversine formula.

6. The method for intelligently matching check-in of domestic waste collection and transportation vehicles according to claim 1 is characterized in that: In step S3, the positioning device collects longitude and latitude coordinates every 3 seconds and transmits the coordinates back to the algorithm server through the operator network.

7. The method for intelligently matching check-in of domestic waste collection and transportation vehicles according to claim 1 is characterized in that: The step S4 further comprises the following steps: S41: The wireless terminal is equipped with a WiFi hotspot, a check-in distance f is set, and the check-in distance f<k, and the application terminal carried by the vehicle collects the mac addresses of the WiFi hotspots to establish a list; S42: When the application terminal is not connected to the WiFi hotspot, the application terminal scans nearby hotspots in the background, and when the collected WiFi hotspot mac addresses are detected, the WiFi hotspot with the largest signal strength is selected and the relative distance t is estimated based on the signal strength; S43: When the relative distance t<f, the terminal information is recorded, indicating that the sign-in is successful, and the point Pn corresponding to the wireless terminal is removed from the collection point S table; if the relative distance t≥f or the signal strength is lower than the threshold, no recording is performed until a valid sign-in condition is met.

8. The method for intelligently matching check-in of domestic waste collection and transportation vehicles according to claim 1 is characterized in that: The algorithm server is connected to the wireless sending unit of the positioning device through a wireless receiving unit, and the algorithm server is connected to the wireless terminal through an operator network.

9. The method for intelligently matching check-in of domestic waste collection and transportation vehicles according to claim 1 is characterized in that: The positioning device adopts any one or more combinations of GPS positioning, base station positioning or hybrid positioning.

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